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Shafagh Rastegari

Shafagh99

ShafaghRastegari
shafagh-rastegari-411767223

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Recent Activity

updated a collection 1 day ago

Interpretability

liked a dataset 8 days ago

hotpotqa/hotpot_qa

updated a collection 9 days ago

Interpretability

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Shafagh Rastegari

AI & ML interests

Recent Activity

Organizations

Shafagh99 's collections 5

From Understanding to Utilization: A Survey on Explainability for Large Language Models

From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP

Rethinking Interpretability in the Era of Large Language Models

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs

A Survey on Retrieval-Augmented Text Generation for Large Language Models

Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation

Rank1: Test-Time Compute for Reranking in Information Retrieval

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers' Guidance

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

Agentic Reasoning for Large Language Models

Toward Efficient Agents: Memory, Tool learning, and Planning

Kimi K2.5: Visual Agentic Intelligence

BBQ: A Hand-Built Bias Benchmark for Question Answering

Bias and Fairness in Large Language Models: A Survey

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

From Understanding to Utilization: A Survey on Explainability for Large Language Models

From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP

Rethinking Interpretability in the Era of Large Language Models

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

Agentic Reasoning for Large Language Models

Toward Efficient Agents: Memory, Tool learning, and Planning

Kimi K2.5: Visual Agentic Intelligence

A Survey on Retrieval-Augmented Text Generation for Large Language Models

Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation

Rank1: Test-Time Compute for Reranking in Information Retrieval

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

BBQ: A Hand-Built Bias Benchmark for Question Answering

Bias and Fairness in Large Language Models: A Survey

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers' Guidance