From the 1 of 15 linked papers with an AI index.
15 papers
Practice Makes Unsafe: Skill Misevolution in Self-Improving LLM Agents
Xutao Mao, Liangjie Zhao, Xiang Zheng +1
Self-improving LLM agents convert successful trajectories into persistent cross-task state. An unsafe success can thereby become reusable policy after its triggering input disappea…
From Refuse to Richness: Rubric Rewards for Long-Form Hallucination Reinforcement Learning
Yudong Wang, Zhe Yang, Wenhan Ma +6
Rewards that penalize unsupported claims can improve grounding in long-form generation, but they can also teach models to answer less. We study this refusal-to-richness trade-off i…
Agents Don't Just Agree, They Remember: Benchmarking Persistent Sycophancy in Stateful Personal Agents
Xutao Mao, Liangjie Zhao, Leyao Wang +6
The paper defines persistent sycophancy, where personal agents store user‑provided claims in long‑term memory and later repeat them, and introduces the Personal Agent Sycophancy Be…
MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training
Wenhan Ma, Jianyu Wei, Liang Zhao +10
Modern large language models (LLMs) rely on reinforcement learning during post-training to push specific capabilities, yet integrating multiple capabilities into one model remains…
SkillOps: Managing LLM Agent Skill Libraries as Self-Maintaining Software Ecosystems
Hongji Pu, Xinyuan Song, Liang Zhao
Large language model agents increasingly rely on skill libraries for multi-step tasks, yet these libraries can accumulate persistent defects as skills are added, reused, patched, a…
MolWorld: Molecule World Models for Actionable Molecular Optimization
Yang Qiao, Bo Pan, Hao-Wei Pang +3
Molecular optimization in drug discovery aims to discover molecules with improved target properties, but practical lead optimization often requires more than high predicted scores.…