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Jaewoo Park

ACL 2026×2AAAI 2026ICLR 2026多模态评测与基准数据与预训练可解释性推理
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1 一作 · 4 篇 · ACL 2026 / AAAI 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #2/8ACL 2026Poster· Natural Language Processing

G uide D og: A Real-World Egocentric Multimodal Dataset for Blind and Low-Vision Accessibility-Aware Guidance

Junhyeok Kim · Jaewoo Park · Junhee Park · Sangeyl Lee · Jiwan Chung · Jisung Kim · Ji Hoon Joung · Youngjae Yu

摘要

For people affected by blindness and low vision (BLV), safe and independent navigation remains a major challenge, impacting over 2.2 billion individuals worldwide. Although multimodal large language models (MLLMs) offer new opportunities for assistive navigation, progress has been limited by the...

多模态评测与基准数据与预训练OpenReview 项目页
作者位次 #3/7ACL 2026Findings· Findings of ACL

Tracing Mathematical Proficiency Through Problem-Solving Processes

Jungyang Park · Suho Kang · Jaewoo Park · Jae Hong Kim · Jaewoo Shin · Seonjoon Park · Youngjae Yu

摘要

Knowledge Tracing (KT) aims to model student’s knowledge state and predict future performance to enable personalized learning in Intelligent Tutoring Systems. However, traditional KT methods face fundamental limitations in explainability, as they rely solely on the response correctness, neglectin...

可解释性推理对齐与偏好OpenReview 项目页

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