2 papers
cs.CL2026
Language Bias in LVLMs: From In-Depth Analysis to Simple and Effective Mitigation
Yangneng Chen, Jing Li
Large Vision-Language Models (LVLMs) extend large language models with visual understanding, but remain vulnerable to hallucination, where outputs are fluent yet inconsistent with…
cs.LG2025
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer
Guodong Du, Zitao Fang, Jing Li +10
Foundation models and their checkpoints have significantly advanced deep learning, boosting performance across various applications. However, fine-tuned models often struggle outsi…