MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training Paper • 2606.30406 • Published Jun 29 • 22
ShortOPD: Recovering Pruned LLMs with Short-to-Long On-Policy Distillation Paper • 2607.13124 • Published 24 days ago • 20
Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling Paper • 2607.02980 • Published Jul 3 • 84
WARP: Weight-Space Analysis for Recovering Training Data Portfolios Paper • 2607.01686 • Published Jul 2 • 11
Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization Paper • 2607.10169 • Published 27 days ago • 14
view article Article LFM2.5-Encoders for Fast Long-Context Inference on CPU LiquidAI • 10 days ago • 65
What LLM Forecasters Know but Don't Say: Probing Internal Representations for Calibration and Faithfulness Paper • 2607.08046 • Published 29 days ago • 14
Negligible in Size, Significant in Effect: On Scale Vectors in Large Language Models Paper • 2605.26895 • Published May 26 • 23
DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning Paper • 2605.25604 • Published May 25 • 139
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation Paper • 2605.11739 • Published May 13 • 61
Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR Paper • 2605.15726 • Published May 15 • 36
Efficient Reasoning via Thought-Training and Thought-Free Inference Paper • 2511.03408 • Published Nov 5, 2025 • 1
Why Fine-Tuning Encourages Hallucinations and How to Fix It Paper • 2604.15574 • Published Apr 16 • 26