2 papers
cs.AI2026
Allocation Before Ranking: Decoupled Token Compression for OmniLLMs
Zhenghui Guo, Yilin Yang, Yuanbin Man +5
Token compression in OmniLLMs is typically posed as a single saliency-ranking problem: score each multimodal token, keep the top-K. We argue this abstraction is mis-specified. The…
cs.CV2026
HII-DPO: Eliminate Hallucination via Accurate Hallucination-Inducing Counterfactual Images
Yilin Yang, Zhenghui Guo, Yuke Wang +3
Large Vision-Language Models (VLMs) have achieved remarkable success across diverse multimodal tasks but remain vulnerable to hallucinations rooted in inherent language bias. Despi…