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Hyunjong Ok

ACL 2026×2数据与预训练效率与系统多模态可解释性检索与知识
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一作贡献60
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2 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 2026Poster· Natural Language Processing

Speculative End-Turn Detector for Efficient Speech Chatbot Assistant

Hyunjong Ok · Suho Yoo · Jaeho Lee

摘要

Spoken dialogue systems powered by large language models have demonstrated remarkable abilities in understanding human speech and generating appropriate spoken responses.However, these systems struggle with end-turn detection (ETD)—the ability to distinguish between user turn completion and hesit...

效率与系统多模态数据与预训练OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models

Hyunjong Ok · Jaeho Lee

摘要

Large language models exhibit surprising sensitivity to the structure of the prompt, but the mechanisms underlying this sensitivity remain poorly understood. In this work, we conduct an in-depth investigation on a striking case: in multiple-choice question answering, placing context before the qu...

可解释性数据与预训练检索与知识OpenReview 项目页

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