Topic · 17 recaps

Machine Learning

General machine learning — algorithms, architectures, optimization, theory. The broad arXiv category that papers without a more specific home tend to land in.

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J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data

Evaluation · Aug 27

Fast Weight Attention for Continual Learning

LLM Training · Aug 27

Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization

Reasoning · Aug 17

On-Policy Self-Distillation without Any Supervision

LLM Training · Aug 9

Progressive Agent Skill Generation via Reinforcement Learning

Agents · Aug 3

Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval

Evaluation · Aug 2

Weak-to-Strong On-Policy Distillation

LLM Training · Jul 28

Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning

Agents · Jul 22

BadWAM: When World-Action Models Dream Right but Act Wrong

Alignment · Jul 16

xHC: Expanded Hyper-Connections

Inference Optimization · Jul 16