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Rajiv Jain

ACL 2026×2NeurIPS 2026可解释性推理多模态评测与基准
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0 一作 · 3 篇 · ACL 2026 / NeurIPS 2026

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2026 顶会论文

3
作者位次 #6/8ACL 2026Findings· Findings of ACL

Unveiling Inherent Visual Grounding in Multimodal LLM s for Text-Rich Images

Shijie Zhou · Jihyung Kil · Ming Li · Jiuxiang Gu · Curtis Wigington · Rajiv Jain · Changyou Chen · Ruiyi Zhang

摘要

Visual text grounding provides interpretable evidence for document question answering. Due to the complex layouts and mixed visual-text contents in text-rich images, effective visual text grounding requires strong visual and spatial reasoning to localize multiple referenced regions. Existing mult...

多模态可解释性推理OpenReview 项目页
作者位次 #3/5ACL 2026Findings· Findings of ACL

O pen E xempt: A Diagnostic Benchmark for Legal Reasoning and a Framework for Creating Custom Benchmarks on Demand

Sergio Servantez · Sarah B. Lawsky · Rajiv Jain · Daniel W. Linna Jr. · Kristian J Hammond

摘要

Reasoning benchmarks have played a crucial role in the progress of language models. Yet rigorous evaluation remains a significant challenge as static question-answer pairs provide only a snapshot of performance, compressing complex behavior into a single accuracy metric. This limitation is especi...

可解释性评测与基准推理OpenReview 项目页

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