Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation 事件

Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation arXiv:2605.25036v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) extend large language models with visual understanding, but remain vulnerable to hallucination, where outputs are fluent yet inconsistent with images. Recent studies link this issue to language bias-the tendency of LVLMs to over-rely on text while neglecting visual inputs. Yet most analyses remain empirical without uncovering its