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Bolun Chu

2 accepted papers

2026

Reallocating Attention Across Layers to Reduce Multimodal Hallucination

CVPR 2026

Multimodal large reasoning models (MLRMs) often suffer from hallucinations that stem not only from insufficient visual grounding but also from imbalanced allocation between perception and reasoning processes. Building upon recent interpretability findings suggesting a staged division of attention ac

Cited by 0SourcecodeScholar
2025

Advancing Expert Specialization for Better MoE

NeurIPS 2025oral

Mixture-of-Experts (MoE) models enable efficient scaling of large language models (LLMs) by activating only a subset of experts per input. However, we observe that the commonly used auxiliary load balancing loss often leads to expert overlap and overly uniform routing, which hinders expert speciali…

Cited by 0SourceScholar