视觉大模型 / VLM

DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination

Xuan Gong, Tianshi Ming, Xinpeng Wang, Zhihua Wei

机构 * Department of Computer Science and Technology, Tongji University（计算机科学与技术系，同济大学） 纠错

专题命中 幻觉与鲁棒性 ：vision-language model(abstract)；LLaVA(abstract)；分类 cs.CV

Comments Accepted by EMNLP2024 (Main Conference), add GitHub link

Comparing Computational Pathology Foundation Models using Representational Similarity Analysis

Vaibhav Mishra, William Lotter

机构 * Dana-Farber Cancer Institute（达纳-法伯癌症研究所） ； Brigham and Women’s Hospital & Harvard Medical School（布里奇沃特医院及哈佛医学院） 纠错

专题命中 幻觉与鲁棒性 ：vision-language model(abstract)；分类 cs.CV、cs.AI

Comments Proceedings of the 5th Machine Learning for Health (ML4H) Symposium

Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts

Ellis Brown, Jihan Yang, Shusheng Yang, Rob Fergus, Saining Xie

机构 * New York University（纽约大学） 纠错

专题命中 幻觉与鲁棒性 ：multimodal large language model(abstract)；分类 cs.CV；MLLM(comments)

Comments Project page: https://cambrian-mllm.github.io

GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation

Manh Nguyen, Sunil Gupta, Dai Do, Hung Le

机构 * Applied Artificial Intelligence Initiative（应用人工智能计划） ； Deakin University（德金大学） 纠错

专题命中 幻觉与鲁棒性 ：grounding(abstract)；分类 cs.LG