Chao Péter Yang
Chao Péter Yang
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Sycophancy
Mitigating Agreement Bias in LLMs via Contradictory-Knowledge Prompt Triads and Reinforcement Training
Measures and mitigates sycophancy in LLMs using contradictory-knowledge prompt triads and reinforcement training, building on a post-training-stage audit of open-recipe models. In preparation.
Chao Péter Yang
FinCom: A Financial Multi-Agent Demo with Disagree-or-Commit Deliberation
A governed multi-agent framework that embeds structured dissent into financial AI committees via the Disagree-or-Commit protocol, improving reasoning accuracy and risk awareness over consensus-seeking baselines.
Chao Péter Yang
,
Zixiao Tan
,
Kaisen Yao
,
Ziyu Zhou
,
Eleanor Jiang
,
Michael Wu
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