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Please help me find research papers on algorithmic design for agent context management that must involve tool calling, and exclude any approaches that introduce or rely on Vision-Language Models (VLM).
[ "AgentFold: Long-Horizon Web Agents with Proactive Context Management", "Scaling Long-Horizon LLM Agent via Context-Folding", "Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management", "BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair", "A2FM: A...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Find research papers about training an LLM agent and involving websailor as a baseline
[ "BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair", "ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization", "WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents", "AGENTFOLD: Long-Horizon Web Agents with Proactive Context Folding", ...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Electronics and Information" }
I am researching humanoid whole-body manipulation (combining locomotion and dexterous hand control). Currently, I have only found some papers related to whole-body control, but I know nothing about dexterous hand manipulation or the combination of the two. I hope you can find me some papers to help me understand. My cu...
[ "Humanoids in Hospitals: A Technical Study of Humanoid Robot Surrogates for Dexterous Medical Interventions", "TrajBooster: Boosting Humanoid Whole-Body Manipulation via Trajectory-Centric Learning", "HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit", "Humanoid Everyday: A Comprehensive R...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Electronics and Information" }
I’m working on an end-to-end autonomous driving system trained directly from raw sensor inputs to control outputs (steering, throttle, etc.). However, during real-world deployment, the model fails catastrophically in rare but critical scenarios like sudden pedestrian darts or occluded intersections—yet it performs well...
[ "End-to-End Urban Autonomous Driving With Safety Constraints", "Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?", "Centaur: Robust End-to-End Autonomous Driving with Test-Time Training", "DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving", " InterFu...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Please help me find papers on autonomous machine learning systems implemented as LLM agent frameworks that are evaluated on MLE-bench Lite and achieve a score higher than 50. I care specifically about works where the agentic framework (planning, tool-use, or self-improvement loop) is clearly described in the main text.
[ "The FM Agent", "KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems", "R&D-Agent: An LLM-Agent Framework Towards Autonomous Data Science", "AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents", "MLE-STAR: Machine Learning Engin...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
I am building a unified safety evaluation framework for Vision-Language Models (VLMs) and would like help finding relevant papers that propose a multimodal safety evaluation benchmark including at least one explicit jailbreak attack category, with dataset statistics or evaluation protocols described in the full text. T...
[ "MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models", "Can Language Models be Instructed to Protect Personal Information?", "Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models", "Single Image Unlearning: Efficient Machine Unlearning in Multim...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Biology and Biochemistry" }
I'm working with Vision-Language-Action models. I aim to develop a generalized architecture or pipeline that improves zero-shot performance in robotic manipulation tasks. Find 5-10 high-quality papers that propose a novel architecture integrating explicit planning representations into Vision-Language-Action (VLA) model...
[ "Robotic Control via Embodied Chain-of-Thought Reasoning", "GraphCoT-VLA: A 3D Spatial-Aware Reasoning Vision-Language-Action Model for Robotic Manipulation with Ambiguous Instructions", "Compositional Foundation Models for Hierarchical Planning", "DexGraspVLA: A Vision-Language-Action Framework Towards Gener...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Please provide papers that investigate the alignment of heterogeneous modalities in collaborative perception for autonomous driving. The selected papers should be under an open collaborative perception setting, where collaborative modalities are extensible. The papers must include experiments involving collaboration be...
[ "Communication-Efficient Collaborative Perception via Information Filling with Codebook", "RG-Attn: Radian Glue Attention for Multi-modality Multi-agent Cooperative Perception", "You Share Beliefs, I Adapt: Progressive Heterogeneous Collaborative Perception", "CoDS: Enhancing Collaborative Perception in Heter...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Chemistry" }
I'm working on humanoid robot control systems and I'm specifically looking for research where the proposed methods are validated in the real world rather than only in simulation. I’m interested in papers where the training data comes from human motion retargeting or from directly collected robot demonstrations. Also, I...
[ "BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion", "HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit", "GMT: General Motion Tracking for Humanoid Whole-Body Control", "Think on your feet: Seamless Transition between Human-like Locomotion in Response to...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Chemistry" }
Please help me find some benchmarks to measure the ability of network search agents to solve complex network research tasks or search problems in real network environments. My requirement is that the questions must have standard answers that can clearly verify whether they are right or wrong since 2023.
[ "SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models", "DeepWideSearch: Benchmarking Depth and Width in Agentic Information Seeking", "BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese", "MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimoda...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Chemistry" }
I am looking for research papers published in 2024 or 2025 regarding Autonomous Agents that utilize an Evolving Skill Library (or Procedural Memory). Specifically, the agent must have the capability to generate new executable code, functions, or tools, verify their correctness, and store them in a memory module for fut...
[ "SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills", "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents", "Rethinking Agent Design: From Top-Down Workflows to Bottom-Up Skill Evolution", "Agents of Change: Self-Evolving LLM Agents for Strategic Planning", "Alita: Ge...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I am looking for research papers published in 2024 or 2025 that propose a Multi-modal Agentic Framework specifically for 3D Scene Generation or 3D Scene Synthesis. The method must involve an agent that utilizes Large Language Models (LLMs) (for planning or code generation) and Vision-Language Models (VLMs) (for visual ...
[ "Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation", "SceneWeaver: All-in-One 3D Scene Synthesis with an Extensible and Self-Reflective Agent", "Agentic 3D Scene Generation with Spatially Contextualized VLMs", "MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse"...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I need to search for papers that were presented at the NeurIPS 2024, IROS 2024 or ICRA 2024 conferences, and which deal with the use of a behavior foundation model for the full-body control of humanoid robots for locomotion manipulation.
[ "Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation Models", "Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model", "Humanoid Locomotion as Next Token Prediction", "OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning", ...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I need to search for papers that were presented at NeurIPS, ICRA, IROS, CoRL, RSS , CVPR, ICCV, and AAAI after 2023, and which deal with the use of active perception for object search (i.e., the robot actively chooses viewpoints/motions to find a target object in a realistic indoor environment).
[ "Vision-Language Frontier Maps for Zero-Shot Semantic Navigation", "PixelNav: Bridging Zero-Shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill", "Aligning Knowledge Graph with Visual Perception for Object-Goal Navigation", "Commonsense-Aware Object Value Graph for Object Goal N...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Enhancing LLMs’ agent capabilities currently relies mostly on RL, but scaling RL for agents faces several challenges: 1. Rollouts are expensive, especially for complex tasks that require extensive thinking and tool use. 2. Rewards are sparse, so on difficult tasks the model doesn’t get positive rewards and trainin...
[ "SimuRA: A World-Model-Driven Simulative Reasoning Architecture for General Goal-Oriented Agents", "Adaptive Tool Generation with Models as Tools and Reinforcement Learning", "TongUI: Building Generalized GUI Agents by Learning from Multimodal Web Tutorials" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I want to find some 2025 papers focused on repository-level code generation that are not about SWE-Bench-style tasks. Please identify the five most well-known, highly cited works whose code is open-sourced.
[ "RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation", "EpiCoder: Encompassing Diversity and Complexity in Code Generation", "aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion", "GRACE: Graph-Guided Repository-Aware Code Completion th...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I am looking for benchmarks published in 2024 or 2025, that specifically evaluate the ability of Large Language Models (LLMs) to generate comprehensive academic survey papers or literature reviews. The paper may not be a pure benchmark, but it does mention a benchmark the authors conducted to evaluate ai+survey.
[ "Are LLMs Good Literature Review Writers? Evaluating the Literature Review Writing Ability of Large Language Models", "SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writing", "SurveyX: Academic Survey Automation via Large Language Models"...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I want some mcp benchmarks that focu on tool-using LLM/Agent struggle in mcp tools. Papers published in 2025 are preferred.
[ "MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark", "LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?", "MCP-Universe: Benchmarking Large Language Models with Real-World Model Context Protocol Servers", "MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Rea...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I’m looking for different regularization methods for self-supervised learning models or JEPA models. The regularization method needs to provide theoretical bounds.
[ "T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning", "Modulate Your Spectrum in Self-Supervised Learning", "An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization", "VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning", "W...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I am also looking for the practical paper about how JEPA helps to build and direct embodied AI system, the simulation works also count
[ "DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning", "V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning", "MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features", "DMT-JEPA: Discriminative ...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I need to find papers published in ASE 2024 (Automated Software Engineering), ICSE 2024, or NeurIPS 2024 that utilize Multi-Agent Systems (MAS) based on LLMs to improve complex code generation.
[ "PairCoder: A Pair Programming Framework for Code Generation via Multi-Plan Exploration", "MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue ReSolution", "INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness", "Chain of Agents: Large Language Models Collaboratin...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Find academic papers or technical reports published by OpenAI between January 1, 2024, and November 1, 2025, that introduce new benchmarks or evaluation frameworks for AI agents.
[ "Introducing SWE-bench Verified", "MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering", "Introducing the SWE-Lancer benchmark", "PaperBench: Evaluating AI's Ability to Replicate AI Research", "BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents", "GDPval: Evaluati...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Find research papers concerning Jailbreak attacks specifically targeting Large Vision-Language Models, not text-only LLMs. The papers must be published in top-tier AI or Security conferences from 2023 to November 2025. Crucially, I only want papers that propose a new visual jailbreak benchmark dataset to evaluate safet...
[ "MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models", "Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models", "MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models",...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Please help me identify papers published in CCF-A recommended conferences in 2024 or 2025 (before Nov 1st). The topic should be about KV Cache compression or optimization for Large Language Models. My specific requirement is that the methods must be designed for streaming applications or infinite context length scenari...
[ "CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Inference", "InfiniGen: Efficient Generative Inference for Large Language Models with Dynamic KV Cache Management", "NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time", "SnapKV: LLM Knows What You are...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Please help me find papers on reasoning capabilities of vision-language models (VLMs) in visual question answering (VQA) tasks requiring commonsense knowledge, where the models explicitly employ chain-of-thought (CoT) prompting or similar step-by-step reasoning mechanisms adapted for multimodal inputs. The studies must...
[ "IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models", "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models", "Coherent Multimodal Reasoning with Iterative Self-Evaluation for Vision-Language Models", "Vicor: Bridging visual understanding and comm...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Please help me find papers on safety alignment techniques for vision-language models (VLMs) that focus on mitigating biases in multimodal data, specifically addressing jailbreak attacks or adversarial prompts involving both text and images. The methods should incorporate reinforcement learning from human feedback (RLHF...
[ "Aligning Large Multimodal Models with Factually Augmented RLHF", "Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback", "Towards Harmless Multimodal Assistants with Blind Preference Optimization", "MM-RLHF: The Next Step Forward in Multimodal LLM Alignment", "PRISM: Robust VLM Alignmen...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I find that pure End-to-End VLAs lack long-horizon reliability in general Embodied AI (excluding Autonomous Driving), while off-the-shelf MLLMs lack specific physical common sense. Please search for recent papers (2024-2025) proposing an explicit hierarchical architecture. I am specifically looking for a general-purpo...
[ "Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning", "EmbodiedBrain: Expanding Performance Boundaries of Task Planning for Embodied Intelligence", "Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models", "Hume: Introducing System-2 Thinking in Visual-Languag...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I am struggling to collect mobile manipulation trajectories for a humanoid robot due to the high cost of motion capture suits. I only have a consumer VR headset (e.g., Quest 3/Vision Pro) and a low budget (<$1000). Please search for recent papers that provide an open-source VR teleoperation framework specifically for h...
[ "BEAVR: Bimanual, multi-Embodiment, Accessible, Virtual Reality Teleoperation System for Robots", "HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit", "Holo-Dex: Teaching Dexterity with Immersive Mixed Reality", "OPEN TEACH: A Versatile Teleoperation System for Robotic Manipulation", "TW...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I'm building a multi-agent system specifically using Large Language Models (not traditional RL agents) for complex task automation. As I scale beyond 10 LLM agents, the quadratic growth in communication overhead is becoming prohibitive. I need papers published after 2023 that propose novel architectures or protocols ex...
[ "Scaling Large-Language-Model-based Multi-Agent Collaboration", "Language Agents as Optimizable Graphs", "Scaling Large Language Model-based Multi-Agent Collaboration", "MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs", "Agentnet: Decentralized evolutionary coordinat...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Our team needs to align custom LLMs but RLHF's reward model training keeps failing due to noisy preference data and training instability. Looking for alignment methods published after 2023 that completely bypass reward model training—specifically direct optimization methods that work with preference pairs or even singl...
[ "Direct Preference Optimization: Your Language Model is Secretly a Reward Model", "Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences", "Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization", "Relative Preference Optimization: Enhanc...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I'm preparing to construct a computational prediction system for regioselectivity of transition metal catalyzed cross-coupling on mutihalogen reactants, but do not know which prediciton model/descriptors should I include in our method. Can you recommend papers with methods to predict such regioselectivity? Do a thoroug...
[ "Site-selective Suzuki–Miyaura coupling of heteroaryl halides – understanding the trends for pharmaceutically important classes", "A Dichotomy in Cross-Coupling Site Selectivity in a Dihalogenated Heteroarene: Influence of Mononuclear Pd, Pd Clusters, and Pd Nanoparticles—the Case for Exploiting Pd Catalyst Speci...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Chemistry" }
Could you help check whether there are any papers that studied the photoisomerization of retinol? These papers should include computational investigation of the isomerization process. These papers should locate the reaction potential energy surface in excited states and perform non-adibatic dynamic simulations. Summari...
[ "Nonadiabatic ab initio dynamics of a model protonated Schiff base of 9-cis retinal", "Quantum molecular dynamics simulations of the effect of secondary modes on the photoisomerization of a retinal chromophore model", "Theory and Simulation of the Ultrafast Double-Bond Isomerization of Biological Chromophores",...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Chemistry" }
Please retrieve peer-reviewed, original research articles (excluding reviews) published from 2010 onward that investigate electrochemical deuteration reactions. Each article must:(1) explicitly report or discuss Faradaic efficiency (also referred to as Faraday efficiency) in the context of deuterium incorporation, and ...
[ "Highly efficient electrocatalytic deuteration of acetylene to deuterated ethylene using deuterium oxide ", "Electrocatalytic Deuteration of Halides with D2O as the DeuteriumSource over a Copper Nanowire Arrays Cathode", "Selective Transfer Semihydrogenation of Alkynes with H₂O (D₂O) as the H (D) Sou...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Chemistry" }
帮我尽可能多的查找有关氯析出反应机理的文献,给我文章的题目或DOI。要求机理介绍中至少要有Tafel斜率这项动力学参数值,不要2010年以前的文章,不要综述,注意文献真实性
[ "Selectivity Trends Between Oxygen Evolution and Chlorine Evolution on Iridium-Based Double Perovskites in Acidic Media", "Microscopic Insights into the Chlorine Evolution Reaction on RuO2(110): a Mechanistic Ab Initio Atomistic Thermodynamics Study", "Enhancing the activity of oxygen-evolution and chlorine...
{ "published_time": "20251101" }
{ "subject": "Fundamental Sciences", "subsubject": "Chemistry" }
I'm looking for research on self-evolving AI agent architectures that examine human-AI coevolution through longitudinal studies. The papers must propose novel agent frameworks with explicit memory mechanisms and demonstrate behavioral adaptation over multiple interaction sessions. Studies should include quantitative an...
[ "Memory-Based Personalization for Fostering a Long-Term Child-Robot Relationship", "Engagement in longitudinal child-robot language learning interactions: Disentangling robot and task engagement", "Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders", "...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I need papers on identifying RNA modifications using mass spectrometry that employ machine learning algorithms for spectrum annotation. The mass spectrometry approach should use tandem MS with fragmentation patterns.
[ "Pytheas: a software package for the automated analysis of RNA sequences and modifications via tandem mass spectrometry", "Improved Application of RNAModMapper – an RNA modification mapping software tool – for analysis of liquid chromatography tandem mass spectrometry (LC-MS/MS) data", "Mass Spectrometry-Based ...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Biology and Biochemistry" }
Could you help determine whether there exist research papers that investigate exchange bias (EB) phenomena in amorphous or partially amorphous magnetic alloy systems prepared specifically by magnetron sputtering, where the origin of EB is attributed to intrinsic structural disorder, nanoscale FM–AFM phase coexistence, ...
[ "Observation of an atomic exchange bias effect in DyCo(4)film", "Exchange Bias and Coercivity in Vicinity of Magnetic Compensation Point in GdFeCo Amorphous Film", "Exchange bias and bistable magneto-resistance states in amorphous TbFeCo thin films", "Magnetic behavior of amorphous Fe–Zr thin films sputtered ...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Could you help determine whether there exist research papers in which the performance of oxygen evolution reaction (OER) catalysts is improved specifically through quenching-based thermal modification, including cases where new elements are introduced or redistributed as a consequence of the quenching process? The quen...
[ "Quenching-induced surface engineering of ZnCo(2)O(4) spinel oxide for enhanced oxygen evolution reaction", "Quench-induced surface engineering of NiO/NiSe(x) hybrid for highly enhanced electrochemical oxygen evolution reaction", "Laser Fragmentation-Induced Defect-Rich Cobalt Oxide Nanoparticles for Electroche...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Could you help me find any research paper about calculating properties of Frequency Selective Surface based on First Principle, rather than equivalent model? The theory should be instrumental for fast FSS inverse design.
[ "Characteristic mode analysis of resistor-loaded frequency selective surfaces: Theoretical research and experimental verification", "An Improved Model for Full Wave Analysis of Multilayered Frequency Selective Surface with Gridded Square Element", "Full-Wave Analysis of Stable Cross Fractal Frequency Selective ...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Electronics and Information" }
Could you help me search any research papers that build neural operator especially for predicting performance of EM metasurface? The neural operator must combine some pre-informed physical theories (such as RCWA algorithm) to improve accuracy and robustness.
[ "Physics-Informed Neural Networks in Electromagnetic and Nanophotonic Design", "Meent: Differentiable Electromagnetic Simulator for Machine Learning", "Physics-informed learning in artificial electromagnetic materials", "Physics-Guided Hierarchical Neural Networks for Maxwell’s Equations in Plasmonic Metamate...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Electronics and Information" }
Please find papers that propose data selection methods for reinforcement learning post-training of LLMs (such as GRPO or RLVR). The methods should select training samples based on criteria like difficulty, learnability, gradient alignment, or influence functions, and report experiments on mathematical reasoning benchma...
[ "LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment", "Improving Data Efficiency for LLM Reinforcement Fine-tuning Through Difficulty-targeted Online Data Selection and Rollout Replay", "Online Difficulty Filtering for Reasoning Oriented...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
What are the recent papers that combine tree-based search algorithms (e.g., Monte Carlo Tree Search or tree-structured rollouts) with reinforcement learning for LLM post-training? I need works that specifically integrate tree search into policy optimization frameworks such as GRPO or PPO, with experimental validation o...
[ "Tree search for llm agent reinforcement learning", "Exploiting Tree Structure for Credit Assignment in RL Training of LLMs", "Segment policy optimization: Effective segment-level credit assignment in rl for large language models", "ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-S...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
Search for papers about tree search techniques that enhance LLM reasoning capabilities. Exclude papers that only use linear chain-of-thought prompting without any tree exploration mechanism. The target papers must implement explicit tree-structured search with branching strategies to explore multiple candidate reasonin...
[ "Tree search for llm agent reinforcement learning", "Enhancing llm reasoning with reward-guided tree search", "Tree of Thoughts: Deliberate Problem Solving with Large Language Models", "Policy Guided Tree Search for Enhanced LLM Reasoning", "Dynamic Parallel Tree Search for Efficient LLM Reasoning", "Don'...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
Search for SCI papers related to PDE4 published in the past 20 years. The papers should be in the fields of biology and pharmacology. The first author's institution should be from China. The papers should be review or basic research type, and clinical research papers should be excluded.
[ "The multifaceted role of phosphodiesterase 4 in tumor: from tumorigenesis to immunotherapy", "Targeting Phosphodiesterase 4 in Gastrointestinal and Liver Diseases: From Isoform-Specific Mechanisms to Precision Therapeutics", "Design, Synthesis, and Evaluation of Selective PDE4 Inhibitors for the Therapy of Pul...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Biology and Biochemistry" }
Can you help check if there is a paper that has designed a gel electrolyte for batteries, where this gel electrolyte is not for lithium-ion batteries but for lithium-sulfur batteries? This gel electrolyte is not for other systems, but specifically for the PDOL system.
[ "An in situ fabricated multifunctional gel electrolyte for lithium–sulfur batteries", "Improving lithium–sulfur battery performance under lean electrolyte through nanoscale confinement in soft swellable gels", "Novel gel polymer electrolyte for high-performance lithium–sulfur batteries", "Accelerating polysul...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Please help me find papers on lithium-sulfur battery gel electrolytes. These papers should include gel electrolytes used in the field of lithium-sulfur batteries, including research papers and reviews. These papers should have been published after 2023.
[ "Solvent Dynamics in Gel Polymer Electrolytes for Lithium–Sulfur Batteries", "Simultaneously Suppressing Shuttle Effect and Dendrite Growth in Lithium–Sulfur Batteries via Building Dual‐Functional Asymmetric‐Cellulose Gel Electrolyte", "2,5-Dimercapto-1,3,4-thiadiazole-modified gel electrolyte for reduced shutt...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Please help me find papers that utilize Knowledge Graphs (KGs) to mitigate hallucinations or improve factual accuracy in Retrieval-Augmented Generation (RAG) systems. The methods should specifically focus on incorporating KG reasoning paths or subgraph retrieval during the inference phase, rather than just using KGs fo...
[ "FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs", "Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction", "Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation", "Simple Is Effective: The ...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
I am looking for papers on accelerating Large Language Model (LLM) inference speeds. I am specifically interested in algorithmic approaches like Speculative Decoding or Blockwise Parallel Decoding. However, please exclude any papers that primarily achieve acceleration through model compression techniques such as Weight...
[ "SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding", "SpecPipe: Accelerating Pipeline Parallelism-based LLM Inference with Speculative Decoding", "AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism", "MagicDec: Breaking the Latency-Throughput Tradeoff for...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
Please help me find papers on food trade or changes in carbon emissions due to the Russia-Ukraine conflict, including MRIO-based analysis of trade and simulations of land use change or future multi-scenarios.
[ "The Russia-Ukraine war decreases food affordability but could reduce global greenhouse gas emissions", "Trade scenarios compensating for halted wheat and maize exports from Russia and Ukraine increase carbon emissions without easing food insecurity", "Telecoupled impacts of the Russia–Ukraine war on global cro...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Environmental Engineering" }
I am using a large language model to build an environmental extended input-output model calculation script, but different environmental elements such as implied carbon footprint, virtual water footprint, etc. will require different input data. Can you recommend some papers that cover input-output models of multiple env...
[ "Integrating ecological and water footprint accounting in a multi-regional input–output framework", "Nexus between water-energy-carbon footprint network: Multiregional input-output and coupling coordination degree analysis", "Tele-connections, driving forces and scenario simulation of agricultural land, water u...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Environmental Engineering" }
Please find papers on training-free model merging that focus on resolving knowledge conflicts in task vectors, adopt parameter-specific trimming strategies (including projection for linear weights and masking for normalization scalers/shifts), and report experimental results on ViT-B/32, ViT-L/14 (vision tasks), RoBERT...
[ "CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
Please help me locate papers on model merging that minimize feature drift via layer-wise task vector fusion, formulate merging as a convex quadratic optimization problem with closed-form solutions for linear/normalization layer parameters, and demonstrate performance improvements on vision (ViT-B/32, ViT-L/14) and visi...
[ "Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I need research papers that develop ductile fracture models specifically for magnesium alloys under negative stress triaxiality (η<0) compression-shear loading conditions, where the models must incorporate the tension-compression asymmetry characteristic of HCP materials and include experimental validation from actual ...
[ "Ductile Fracture Prediction in Mg-ZM51M Alloy Using Inverse-Calibrated Damage Models", "Modeling asymmetric fracture mechanics of Mg alloy wire in drawing process", "Stress-state dependency of ductile fracture in an extruded magnesium alloy and its underlying mechanisms", "Two-component DF2016 criterion to c...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Please retrieve research papers on the influence of process parameters on joint performance in Solid Self-Piercing Riveting (SSPR) that incorporate both experimental validation and finite element simulation analysis, with the constraint that no discussion of hollow-rivet Self-Piercing Riveting (SPR), hot riveting, or e...
[ "The effect of material properties and joining process parameters on behavior of self-pierce riveting joints made with the solid rivet", "The failure mechanics analysis of the solid self-piercing riveting joints", "Design of aluminium solid self-piercing rivets for joining aluminium sheets by material and geome...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Please help find peer-reviewed papers published on or before November 1, 2025, which propose Global Flexible Power Point Tracking (GFPPT)/global flexible power control technologies suitable for photovoltaic (PV) arrays under partial shading conditions (under such conditions, PV arrays exhibit a multi-peak power-voltage...
[ "Multiple-to-single maximum power point tracking for empowering conventional MPPT algorithms under partial shading conditions", "Design and Analysis of an Adaptive Global Maximum Power Point Tracking Algorithm for Enhanced Partial Shading Detection and GMPP Tracking", "A High-Performance Global Maximum Power Po...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Electrical Engineering" }
I am designing a grid-connected PV system that must be equipped with flexible active power control capability (global maximum power point tracking/constant power generation) to provide grid-support services. Under partial shading conditions, the power-voltage (P–V) curve of the PV array exhibits a multi-peak characteri...
[ "Multiple-to-single maximum power point tracking for empowering conventional MPPT algorithms under partial shading conditions", "Design and Analysis of an Adaptive Global Maximum Power Point Tracking Algorithm for Enhanced Partial Shading Detection and GMPP Tracking", "A High-Performance Global Maximum Power Po...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Electrical Engineering" }
Provide papers on Time-Domain Thermoreflectance (TDTR) experimental design optimization published before November 2025. I am looking for studies that discuss physical parameter selection such as spot size or transducer thickness based on sensitivity analysis. Exclude papers that solely introduce data fitting software o...
[ "Time-domain thermoreflectance (TDTR) measurements of anisotropic thermal conductivity using a variable spot size approach", "A new elliptical-beam method based on time-domain thermoreflectance (TDTR) to measure the in-plane anisotropic thermal conductivity and its comparison with the beam-offset method", "Accu...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Engineering Thermophysics" }
Please provide papers published in Applied Energy that study both district cooling and safe reinforcement learning. The papers should be released before the November of 2025.
[ "Reliable Non-Parametric Techniques for Energy System Operation and Control: Fundamentals and Applications of Constraint Learning and Safe Reinforcement Learning Methods", "District cooling system control for providing regulation services based on safe reinforcement learning with barrier functions", "Voltage co...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Energy and Power" }
Please find papers published before 1 Nov 2025 that use self-supervised learning (SSL) on longitudinal retinal OCT data (multiple visits per eye) to predict age-related macular degeneration progression within an explicit future time window. The SSL method must exploit temporal information during pretraining and the pap...
[ "Morph-SSL: self-supervision with longitudinal morphing for forecasting AMD progression from OCT volumes", "TINC: Temporally Informed Non-Contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes", "Modeling Disease Progression in Retinal OCTs with Longitudinal Self-Supervised Learning", "3...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Could you help find papers (published before 1 Nov 2025) on federated learning for diabetic retinopathy detection or severity grading from color fundus photographs, where training is performed across at least three distinct data silos, raw images are not centralized, and the paper compares the federated model against a...
[ "Federated Transfer Learning For Diabetic Retinopathy Detection Using CNN Architectures", "Federated Learning for Diabetic Retinopathy Detection in a Multi-center Fundus Screening Network", "Federated Learning for Diabetic Retinopathy Detection Using Vision Transformers", "Federated Learning for Diabetic Reti...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Please help me find research articles on the role of integrative Chinese and Western medicine in neurodegenerative diseases and aging that include clinical trials from the past decade and scientific discoveries in delaying the aging process. The studies should focus on Traditional Chinese Medicine (TCM) interventions (...
[ "Hekun decoction versus Femoston for women with amnestic mild cognitive impairment in early menopause: a randomized, three-arm, double-blind clinical trial", "Comparison of Donepezil, Memantine, Melatonin, and Liuwei Dihuang Decoction on Behavioral and Immune Endocrine Responses of Aged Senescence-Accelerated Mou...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Could you help check whether there are any papers that investigate integrative Chinese and Western medicine not for general cardiac diseases but rather specifically for heart failure that include clinical trials from the past decade and scientific discoveries in myocardial vitality restoration? These studies should foc...
[ "The traditional Chinese medicine Qiliqiangxin in heart failure with reduced ejection fraction: a randomized, double-blind, placebo-controlled trial", "Qili Qiangxin ameliorates chronic heart failure: a randomized clinical trial of biomarkers, inflammation, and cardiac outcomes", "The effects of qishen granules...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Please find papers on parameter-efficient fine-tuning (PEFT) for large language models that adopt SVD-based initialization for low-rank adapters, compare performance with LoRA/QLoRA across models of 7B-70B parameters (including LLaMA-2, Mistral, Gemma), and report results on NLG tasks (GSM8K, MATH, HumanEval) and NLU t...
[ "PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models", "LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
Please help locate papers that investigate the effect of SVD-based weight pruning on in-context learning (ICL) performance of Transformers, analyze layer-wise differences (shallow vs. deep layers) in pruning stability, and provide theoretical explanations via implicit gradient descent trajectories and mutual informatio...
[ "Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective" ]
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Computer Science" }
I'm researching deep reinforcement learning approaches for joint task scheduling and resource allocation in computing power networks. Please help me find papers that: (1) propose actor-critic based DRL methods such as A3C, PPO, DDPG, or SAC, (2) specifically address dynamic scheduling in edge-cloud collaborative enviro...
[ "Reinforcement learning methods for computation offloading: a systematic review", "Enhanced DDPG algorithm for latency and energy-efficient task scheduling in MEC systems", "Multi-Objective Prioritized Task Scheduler Using Improved Asynchronous Advantage Actor Critic (a3c) Algorithm in Multi Cloud Environment",...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I need papers that use hybrid evolutionary-reinforcement learning approaches for task offloading and resource provisioning in computing power networks. The methods should combine evolutionary algorithms (like NSGA-II, MOEA/D, or SPEA2) with reinforcement learning techniques. Requirements: (1) target edge computing or c...
[ "Evolutionary Multi-Objective Deep Reinforcement Learning for Task Offloading in Industrial Internet of Things", "Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey", "Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Co...
{ "published_time": "20251101" }
{ "subject": "Artificial Intelligence and Computing", "subsubject": "Artificial Intelligence" }
I want to do research on the relationship between neonatal diseases and facial recognition, voice recognition and bowel sound recognition, and help me search for the literature in this area in recent 10 years
[ "CLINICAL VALIDATION OF SWAASA ARTIFICIAL INTELLIGENCE PLATFORM USING COUGH SOUNDS FOR SCREENING AND DIAGNOSIS OF RESPIRATORY DISEASES", "A Comprehensive and Context-Sensitive Neonatal Pain Assessment Using Computer Vision", "Disclosing neonatal pain in real-time: AI-derived pain sign from continuous assessment...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Help me find the research literature on the relationship between disease and facial recognition or voice recognition in children or newborns in the past ten years
[ "Review on facial-recognition-based applications in disease diagnosis", "Robust autism spectrum disorder screening based on facial images (for disability diagnosis): a domain-adaptive deep ensemble approach", "Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural networ...
{ "published_time": "20251101" }
{ "subject": "Medicine and Life Sciences", "subsubject": "Clinical Medicine" }
Please help me find research papers published between January 2023 and November 1, 2025, on all-polymer solar cells (all-PSCs). The active layer must utilize PM6 as the polymer donor and a polymerized small molecule acceptor (PSMA) (e.g., PY-series or L-series) as the acceptor. The papers must explicitly report a Power...
[ "A Refined Bulk P–I–N Structure in All-Polymer Solar Cells To Achieve 20.1% Efficiency and Improved Stability", "Optimizing the power conversion processes in diluted donor/acceptor heterojunctions towards 19.4% efficiency all-polymer solar cells", "Binary all-polymer solar cells with 19.30% efficiency enabled b...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
I am looking for papers on n-type conjugated polymers designed for Organic Electrochemical Transistors (OECTs) application. The papers should be published before November 1, 2025. I specifically want to find novel backbone structures; therefore, you must exclude any papers where the polymer backbone is based on Naphtha...
[ "Polyethylene glycol-decorated n-type conducting polymers with improved ion accessibility for high-performance organic electrochemical transistors", "Molar Mass Improves the Performance of n-Type Organic Electrochemical Transistors", "Strong Proquinoidal Acceptor Enables High-Performance Ambipolar Organic Elect...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Materials Science and Engineering" }
Could you help me find some papers on hull stress field identification and wave elevation reconstruction, including full-scale ship validation experiments as well as simulations conducted via finite element or numerical methods? These methods should take hull motion signals or hull structural responses as inputs.
[ "An Inverse FEM for Structural Health Monitoring of a Containership: Sensor Network Optimization for Accurate Displacement, Strain, and Internal Force Reconstruction", "Data-Driven Estimations of Response Transfer Functions of a Marine Vessel and Phase-Resolved Incident Waves", "Kalman filter technique for esti...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Ship Engineering" }
I am using the sensors mounted on the hull to reconstruct the hull stress field and the wave height where the ship is located. However, how to utilize the ship hull motion response and structural response has become a problem. Could you recommend some papers on how to identify the wave field and stress field using moti...
[ "An Inverse FEM for Structural Health Monitoring of a Containership: Sensor Network Optimization for Accurate Displacement, Strain, and Internal Force Reconstruction", "Data-Driven Estimations of Response Transfer Functions of a Marine Vessel and Phase-Resolved Incident Waves", "Estimating waves via measured sh...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Ship Engineering" }
Please systematically review research works published in Computer Methods in Applied Mechanics and Engineering, Journal of Computing and Information Science in Engineering, Nature Communications, and other computational mechanics journals, as well as top-tier machine learning conferences such as NeurIPS, ICLR, ICML, an...
[ "Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms", "Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations", "Fourier Neural Operator for Parametric Partial Differ...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Mechanics" }
I am working on reduced-order surrogate modeling for mechanics problems, and currently employ a framework that combines POD-based dimensionality reduction with symbolic regression. However, the predictive performance of this approach degrades when applied to strongly nonlinear physical processes. Can you recommend rese...
[ "A Massively Parallelizable Surrogate-Based Modeling Framework for Nonlinear Static Aeroelasticity and Structural Design", "A journey from mechanistic to data-driven models in process engineering: dimensionality reduction, surrogate and hybrid approaches, and digital twins", "Data Driven Techniques for Modal De...
{ "published_time": "20251101" }
{ "subject": "Engineering and Technology", "subsubject": "Mechanics" }
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