Author

Wayne Xin Zhao

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#machine learning Preprint Oct 2026

Spectral-Driven Adaptive-Rank Optimizer for Large Language Model Reinforcement Learning with Verifiable Rewards

Reinforcement learning with verifiable rewards (RLVR) is reshaping how large language models (LLMs) acquire reasoning capabilities, yet the optimizers used remain largely inherited from teacher-forcing training. This raises a fundamental question: does RLVR induce a distinct optimization geometry that calls for a diffe...

Zhi-Peng Chen, Wayne Xin Zhao, Ji-Rong Wen · 0 citations

#artificial intelligence Preprint Sep 2026

Agent-Editing World Model: Rethinking World Modeling for LLM Agents

This work proposes the Agent-Editing World Model (AEWM), which models how reasoning and actions shape future task progress rather than simulating tool responses, and combines AEWM with EditAct, which integrates these capabilities with real execution.

Shuang Sun, Guo-Xin Chen, Fan-Zhen Meng et al. · 0 citations

Preprint Aug 2026

Evo-Bench: Can Language Models Improve Agent Harness?

Evo-Bench is the first benchmark designed to evaluate models'intrinsic harness-evolving capabilities across Search, Office, and General agent domains, and exposes critical temporal anomalies like early saturation, while demonstrating that the synthesized harnesses act as highly transferable reasoning structures, consis...

Lisheng Huang, Chen Yang, Hao Zhou et al. · 6 citations · ⚡1