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Lin Chen

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#natural language process... Preprint Sep 2026

AI agents reshape consensus formation in human groups

Study of mixed human-AI groups in a collaborative description game provides evidence that AI composition can shape the emergence, content, and perceived legitimacy of group norms, making agent proportion and transparency important design variables for human-AI systems.

Lin Chen, Ziyi Liu, Xia Hu et al. · 0 citations
#natural language process... Preprint Sep 2026

Citing Less Critically: LLMs Reshape the Rhetoric and Reach of Scientific Citation

Scientific citations carry rhetorical intent. Scholars may cite prior work positively (supporting), negatively (contrasting), or neutrally (mentioning). As large language models (LLMs) increasingly assist scientific writing, whether they reproduce citations with the same rhetorical intent as humans remains unclear. We...

Yixuan Liu, Lin Chen, Zhuoqi Liu et al. · 0 citations
#natural language process... Preprint Aug 2026

Do LLMs Change Their Minds Like Humans? Diagnosing Human--LLM Divergence in Single-Turn Persuasion Judgments

A systematic comparison using a naturally occurring online persuasion corpus in which original posters explicitly verify whether a reply changed their view is conducted, highlighting the risk of treating LLM judgments as faithful proxies for human belief updating and point to structural differences in how LLMs and huma...

Lin Chen, Yi-Tong Chen, Yong Li · 0 citations
Review Open access Aug 2026

Reinforcement Learning in the Era of Large Language Models: Challenges and Opportunities

A systematic literature review on how RL are adapted and scaled as a fundamental post-training tools and how innovations in the RL pipeline enhance the domain-specific LLMs is conducted.

Qianyue Hao, Lin Chen, Xiao-Qian Qi et al. · 1 citation

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