Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning

Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha Kass-Hout, Cao Xiao, Fenglong Ma. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.460
Citations
2
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
2.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning

Fenglong Ma, Cao Xiao, Taha Kass‐Hout, A. J. Boyd et al.
2 citations
Multimodal Machine Learning Applications
2.55
article

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning

Fenglong Ma, Cao Xiao, Taha Kass‐Hout, A. J. Boyd, Longjun Huang, Parminder Bhatia, Aofei Chang
article en
2 citations

Abstract

Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha Kass-Hout, Cao Xiao, Fenglong Ma. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

National Science Foundation, National Institutes of Health
Openalex Percentile: Top 10%
Multimodal Machine Learning Applications
2.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.