Self-Evaluating Recursive Agents
Paper • 2610.04902 • Published • 15
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yli-ml
authored 17
papers 14 days ago
Understanding the Synergy between SFT, RLVR, and OPD in LLM Post-Training
Paper • 2609.31900 • Published
Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents
Paper • 2609.27334 • Published • 55
Rethinking LLM Uncertainty: A Multi-Agent Approach to Estimating Black-Box Model Uncertainty
Paper • 2412.09572 • Published
Active Evaluation Acquisition for Efficient LLM Benchmarking
Paper • 2410.05952 • Published • 1
RISE: Recursive Improvement via Self-Extrapolating Policy Distillation
Paper • 2609.05295 • Published • 19
Procedural Memory Distillation: Online Reflection for Self-Improving Language Models
Paper • 2607.01480 • Published
Look Inward to Explore Outward: Learning Temperature Policy from LLM Internal States via Hierarchical RL
Paper • 2602.13035 • Published
Skip a Layer or Loop It? Learning Program-of-Layers in LLMs
Paper • 2606.06574 • Published • 26
Towards Robust Active Feature Acquisition
Paper • 2107.04163 • Published
Beyond Mode Collapse: Distribution Matching for Diverse Reasoning
Paper • 2605.19461 • Published • 2
What and When to Distill: Selective Hindsight Distillation for Multi-Turn Agents
Paper • 2605.19447 • Published • 2
Learning from Language Feedback via Variational Policy Distillation
Paper • 2605.15113 • Published • 12
Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs
Paper • 2605.08905 • Published
Grokked Models are Better Unlearners
Paper • 2512.03437 • Published
Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs
Paper • 2507.07996 • Published • 36
Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers
Paper • 2505.12601 • Published
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