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From the 1 of 15 linked papers with an AI index.

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15 papers

cs.AI2026

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…

cs.CL2026

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…

cs.AI2026

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…

cs.CL2026

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…

cs.SE2026

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…

cs.LG2026

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.…