KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning Paper • 2604.22779 • Published Apr 3
StudyBench: Can Self-Evolution Squeeze Textbooks for Olympiad Capability? Paper • 2609.00787 • Published Sep 1 • 19
AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning Paper • 2610.22194 • Published 2 days ago • 34
AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning Paper • 2610.22194 • Published 2 days ago • 34
Rethinking On-Policy Distillation of Large Language Models II: One Training Example Paper • 2609.04172 • Published Sep 3 • 105
StudyBench: Can Self-Evolution Squeeze Textbooks for Olympiad Capability? Paper • 2609.00787 • Published Sep 1 • 19
PACE-Bench: Benchmarking Physics Adaptation via Code Evolution in Dynamic Environments Paper • 2608.14441 • Published Aug 14 • 29
Running 69 Don't Train the Model, Evolve the Harness 🌿 69 Evolving an agent's harness, not its model, on Harvey's LAB
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer Paper • 2312.05842 • Published Dec 10, 2023 • 1
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning Paper • 2505.04881 • Published May 8, 2025 • 1
Rethinking the Role of Efficient Attention in Hybrid Architectures Paper • 2606.15378 • Published Jun 13 • 21
δ-mem: Efficient Online Memory for Large Language Models Paper • 2605.12357 • Published May 12 • 133
Rethinking the Role of Efficient Attention in Hybrid Architectures Paper • 2606.15378 • Published Jun 13 • 21
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning Paper • 2505.04881 • Published May 8, 2025 • 1