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Sumitra Ganesh

ACL 2026×2ICML 2026×2多模态推理智能体与工具理论与学习动力学代码
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0 一作 · 4 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

4
作者位次 #3/3ICML 2026Poster· Theory / Optimization

Rethinking Neural Network Learning Rates: A Stackelberg Perspective

Sihan Zeng · Sujay Bhatt · Sumitra Ganesh

理论与学习动力学OpenReview
作者位次 #2/3ICML 2026Poster· Probabilistic Methods / Monte Carlo and Sampling Methods

Entropy-informed Decoding: Adaptive Information-Driven Branching

Benjamin Patrick Evans · Sumitra Ganesh · Leo Ardon

作者位次 #4/5ACL 2026Poster· Natural Language Processing

S lide A gent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding

Yiqiao Jin · Rachneet Kaur · Zhen Zeng · Sumitra Ganesh · Srijan Kumar

摘要

Multi-page visual documents such as manuals, brochures, presentations, and posters convey key information through layout, colors, icons, and cross-slide references. While multimodal large language models (MLLMs) offer opportunities in document understanding, current systems struggle with complex,...

多模态推理智能体与工具OpenReview 项目页
作者位次 #4/4ACL 2026Poster· Natural Language Processing

C hart A gent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering

Rachneet Kaur · Nishan Srishankar · Zhen Zeng · Sumitra Ganesh

摘要

Recent multimodal LLMs have shown promise in chart-based visual question answering, but their performance declines sharply on unannotated charts—those requiring precise visual interpretation rather than relying on textual shortcuts. To address this, we introduce ChartAgent, a novel agentic framew...

多模态推理智能体与工具OpenReview 项目页

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