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Ponnurangam Kumaraguru

ACL 2026×2ECCV 2026评测与基准多模态安全智能体与工具推理
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0 一作 · 3 篇 · ACL 2026 / ECCV 2026

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2026 顶会论文

3
作者位次 #4/5ACL 2026Poster· Natural Language Processing

TAMAS : Benchmarking Adversarial Risks in Multi-Agent LLM Systems

Ishan Kavathekar · Hemang Jain · Ameya Rathod · Ponnurangam Kumaraguru · Tanuja Ganu

摘要

Large Language Models (LLMs) have demonstrated strong capabilities as autonomous agents through tool use, planning, and decision-making abilities, leading to their widespread adoption across diverse tasks. As task complexity grows, multi-agent LLM systems are increasingly used to solve problems c...

安全智能体与工具评测与基准OpenReview 项目页
作者位次 #5/6ACL 2026Findings· Findings of ACL

A Graph Talks, But Who’s Listening? Rethinking Evaluations for Graph-Language Models

Soham Petkar · Hari Aakash K · Anirudh Vempati · Akshit Sinha · Ponnurangam Kumaraguru · Chirag Agarwal

摘要

Recent research has extensively explored the graph-reasoning capabilities of Large Language Models (LLMs) through textual descriptions. However, benchmarks specifically designed for Graph-Language Models (GLMs), which integrate Graph Neural Networks (GNNs) with LLMs, remain significantly underdev...

评测与基准推理多模态OpenReview 项目页

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