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Swabha Swayamdipta

ACL 2026×2CHI 2026社会与人本多模态评测与基准效率与系统检索与知识
新星分资深
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0 一作 · 3 篇 · ACL 2026 / CHI 2026

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2026 顶会论文

3
作者位次 #6/6ACL 2026Poster· Natural Language Processing

Believing without Seeing: Quality Scores for Contextualizing Vision-Language Model Explanations

Keyu He · Tejas Srinivasan · Brihi Joshi · Xiang Ren · Jesse Thomason · Swabha Swayamdipta

摘要

When people query Vision-Language Models (VLMs) but cannot see the accompanying visual context (e.g. for blind and low-vision users), augmenting VLM predictions with natural language explanations can signal which model predictions are reliable. However, prior work has found that explanations can...

多模态评测与基准OpenReview 项目页
作者位次 #8/8ACL 2026Poster· Natural Language Processing

Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants

Jaspreet Ranjit · Hyundong Justin Cho · Claire J. Smerdon · Yoonsoo Nam · Myles Phung · Jonathan May · John R. Blosnich · Swabha Swayamdipta

摘要

The National Violent Death Reporting System (NVDRS) documents suicides in the United States. In a demanding public health data pipeline, annotators manually extract structured information from death investigation records following extensive codebooks (i.e. annotation guidelines) painstakingly dev...

社会与人本效率与系统检索与知识OpenReview 项目页

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