Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning
Paper • 2602.21103 • Published • 8
Aiden Mitchell
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Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents
Paper • 2605.25971 • Published • 16
DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
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Auditing Multimodal LLM Raters: Central Tendency Bias in Clinical Ordinal Scoring
Paper • 2605.16386 • Published • 3
Video Models Can Reason with Verifiable Rewards
Paper • 2605.15458 • Published • 11
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papers 3 months ago
Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability
Paper • 2604.06628 • Published • 329
Adam's Law: Textual Frequency Law on Large Language Models
Paper • 2604.02176 • Published • 509
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning
Paper • 2604.02721 • Published • 638
MultiGen: Level-Design for Editable Multiplayer Worlds in Diffusion Game Engines
Paper • 2603.06679 • Published • 7
SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise
Paper • 2602.12783 • Published • 246
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers
Paper • 2603.24414 • Published • 183
Demystifing Video Reasoning
Paper • 2603.16870 • Published • 373