AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning Paper • 2610.22194 • Published 6 days ago • 42
AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning Paper • 2610.22194 • Published 6 days ago • 42
LexReward: A Taxonomy-Driven Reward Framework for Legal Language Models Paper • 2609.39071 • Published 21 days ago • 67
LexReward: A Taxonomy-Driven Reward Framework for Legal Language Models Paper • 2609.39071 • Published 21 days ago • 67
LexReward: A Taxonomy-Driven Reward Framework for Legal Language Models Paper • 2609.39071 • Published 21 days ago • 67
StudyBench: Can Self-Evolution Squeeze Textbooks for Olympiad Capability? Paper • 2609.00787 • Published Sep 1 • 19
CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents Paper • 2511.02734 • Published Nov 4, 2025 • 23
CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning Paper • 2602.02979 • Published Feb 3 • 1
Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning Paper • 2510.01932 • Published Oct 4, 2025
Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization Paper • 2604.12290 • Published Apr 14 • 17
CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations Paper • 2512.23328 • Published Jan 1
MA-ProofBench: A Two-Tiered Evaluation of LLMs for Theorem Proving in Mathematical Analysis Paper • 2606.13782 • Published Jun 11 • 2
NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? Paper • 2606.24530 • Published Jun 23 • 67
Weak-to-Strong Generalization via Direct On-Policy Distillation Paper • 2607.05394 • Published Jul 8 • 144