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cs.LG2026
Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach
Serhii Mytsyk, Yiming Zhang, Vikram Krishnamurthy
Large language models (LLMs) frequently exhibit \emph{sycophancy}: they adapt their answers to a user's stated beliefs or preferences instead of reporting what they hold to be true…
cs.SI2026
Emergence of Preferential Attachment and Glass-Ceiling Effects in Autonomous Networks of LLMs
Yiming Zhang, Vikram Krishnamurthy
We investigate the emergence of structural disparities in networks of collaborating large language model (LLM) agents. When LLM agents autonomously choose collaborators, the result…