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Jeonghwan Kim

ACL 2026×2NeurIPS 2026×2多模态智能体与工具推理对齐与偏好强化学习与后训练
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1 一作 · 4 篇 · ACL 2026 / NeurIPS 2026

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2026 顶会论文

4
作者位次 #2/7ACL 2026Poster· Natural Language Processing

PEARL : Self-Evolving Assistant for Time Management with Reinforcement Learning

Bingxuan Li · Jeonghwan Kim · Cheng Qian · Xiusi Chen · Eitan Anzenberg · Niran Kundapur · Heng Ji

摘要

Overlapping calendar invitations force busy professionals to repeatedly decide which meetings to attend, reschedule, or decline. We refer to this preference-driven decision process as calendar conflict resolution. Automating this decision process is crucial yet challenging. Scheduling logistics c...

智能体与工具对齐与偏好强化学习与后训练OpenReview 项目页
作者位次 #3/9ACL 2026Poster· Natural Language Processing

MM - P oison RAG : Disrupting Multimodal RAG with Local and Global Knowledge Poisoning Attacks

Hyeonjeong Ha · Qiusi Zhan · Jeonghwan Kim · Dimitrios Bralios · Saikrishna Sanniboina · Nanyun Peng · Kai-Wei Chang · Daniel Kang · Heng Ji

摘要

Retrieval-augmented generation (RAG) has become a common practice in multimodal large language models (MLLM) to enhance factual grounding and reduce hallucination. Yet, its reliance on retrieval exposes MLLMs to knowledge poisoning attacks, in which adversaries deliberately inject malicious multi...

检索与知识安全推理OpenReview 项目页

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