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Seokgyu Jang

ACL 2026×2推理评测与基准智能体与工具多模态
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/3ACL 2026Findings· Findings of ACL

Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent Systems

Namyeong So · Seokgyu Jang · Taeuk Kim

摘要

Adaptive multi-agent systems (MAS) are increasingly adopted as solutions to complex problems. However, their optimization for narrow task ranges leaves it unclear whether they can function as general-purpose systems. To fill this gap, we conduct an extensive empirical study on adaptive MAS, revea...

智能体与工具推理评测与基准OpenReview 项目页
作者位次 #3/8ACL 2026Findings· Findings of ACL

OMHB ench: Benchmarking Balanced and Grounded Omni-Modal Multi-Hop Reasoning

Seunghee Kim · Ingyu Bang · Seokgyu Jang · Changhyeon Kim · Sanghwan Bae · Jihun Choi · richeng xuan · Taeuk Kim

摘要

Multimodal Large Language Models (MLLMs) have increasingly supported omni-modal processing across text, vision, and speech. However, existing evaluation frameworks for such models suffer from critical limitations, including modality shortcuts and biased reasoning paths. To address these challenge...

多模态评测与基准推理OpenReview 项目页

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