Understanding the Synergy between SFT, RLVR, and OPD in LLM Post-Training Paper • 2609.31900 • Published 26 days ago
Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents Paper • 2609.27334 • Published 28 days ago • 57
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty Paper • 2412.09572 • Published Dec 12, 2024
Active Evaluation Acquisition for Efficient LLM Benchmarking Paper • 2410.05952 • Published Oct 8, 2024 • 1
RISE: Recursive Improvement via Self-Extrapolating Policy Distillation Paper • 2609.05295 • Published Sep 4 • 20
Procedural Memory Distillation: Online Reflection for Self-Improving Language Models Paper • 2607.01480 • Published Jul 1
Look Inward to Explore Outward: Learning Temperature Policy from LLM Internal States via Hierarchical RL Paper • 2602.13035 • Published Feb 13
Skip a Layer or Loop It? Learning Program-of-Layers in LLMs Paper • 2606.06574 • Published Jun 4 • 26
Beyond Mode Collapse: Distribution Matching for Diverse Reasoning Paper • 2605.19461 • Published May 19 • 2
What and When to Distill: Selective Hindsight Distillation for Multi-Turn Agents Paper • 2605.19447 • Published May 19 • 2
Learning from Language Feedback via Variational Policy Distillation Paper • 2605.15113 • Published May 18 • 13
Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs Paper • 2605.08905 • Published May 9
Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs Paper • 2507.07996 • Published Jul 10, 2025 • 36
Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers Paper • 2505.12601 • Published May 19, 2025
Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents Paper • 2609.27334 • Published 28 days ago • 57
Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents Paper • 2609.27334 • Published 28 days ago • 57