Author

Run Yang

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Preprint Oct 2026

Trapped in Your Story: Evaluating Narrative-Induced Sycophancy in Large Language Models

Large language models (LLMs) are known to exhibit sycophancy by adjusting their responses toward users'expressed views. However, real users often justify their opinions through reasons, personal experiences, causal explanations, and broader narratives, raising the question of whether such narratives can further steer m...

Run Yang, Dan-Dan Zhu, Kai-Wei Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Self-Evolving Agents via Likelihood-Guided Tool-Space Optimization

This work introduces LOTS (Likelihood-Only Tool Scoring), which evolves an agent's tool space from accumulated output experience while keeping model parameters fixed and demonstrates that task-specific spaces persist and continue to improve over time, while cross-model experiments show that learned configurations trans...

Xuanqi Zhang, Rui-Nan Jin, Run Yang et al. · 0 citations

#machine learning Preprint Aug 2026

Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation

Experiments show Influence-Directed Adaptive On-Policy Distillation (IDA-OPD), rather than relying on costly full-vocabulary Forward-KL objectives, preserves entropy-expanding updates while replacing entropy-contracting ones with divergence-adaptive advantage shrinkage, using only the teacher's sampled-token log-probab...

Run Yang, Runpeng Dai, Jie Sun et al. · 2 citations