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From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

cs.AI2026

Policy of Thoughts: Scaling Test-Time Training for LLM Reasoning via Online Policy Evolution

Zhengbo Jiao, Hongyu Xian, Qinglong Wang +5

The paper introduces Policy of Thoughts (PoT), a test‑time training framework that continuously updates a lightweight LoRA adapter using online policy optimization to improve large…

cs.CL2026

Improving General Role-Playing Agents via Psychology-Grounded Reasoning and Role-Aware Policy Optimization

Zhenhua Xu, Dongsheng Chen, Jian Li +7

Building general-purpose role-playing agents that faithfully portray any character from a natural-language profile remains challenging. The dominant paradigm -- supervised fine-tun…

cs.CR2026

SRAF: Stealthy and Robust Adversarial Fingerprint for Copyright Verification of Large Language Models

Zhebo Wang, Zhenhua Xu, Maike Li +4

The protection of Intellectual Property (IP) for Large Language Models (LLMs) has become a critical concern as model theft and unauthorized commercialization escalate. While advers…

cs.CR2026

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends

Zhenhua Xu, Xubin Yue, Zhebo Wang +9

Copyright protection for large language models is of critical importance, given their substantial development costs, proprietary value, and potential for misuse. Existing surveys h…

cs.LG2026

Spectral Logit Sculpting: Adaptive Low-Rank Logit Transformation for Controlled Text Generation

Jin Li, Zhebo Wang, Tianliang Lu +3

Entropy-based inference methods have gained traction for improving the reliability of Large Language Models (LLMs). However, many existing approaches, such as entropy minimization…

cs.CL2026

ICPO: Illocution-Calibrated Policy Optimization for Multi-Turn Conversation

Zhebo Wang, Xiaohu Mu, Zijie Zhou +4

Large Language Models (LLMs) in multi-turn conversations often suffer from a ``lost-in-conversation'' phenomenon, where they struggle to recover from early incorrect assumptions, p…