← 研踪 PaperTrailACL Anthology · ACL 2026:acl:2026.acl-demo.61 · 记录 #1
ParseJargon: Personalized Real-time Jargon Support in Online Meetings
来源日期（仅到月份） 2026-07
来源记录日期 2026-07
雷达观测 2026-11-01 22:08
摘要
Effective interdisciplinary communication is frequently hindered by domain-specific terms. These terms, or jargon, are dependent on a listener’s background, and rarely do listeners seek explanations due to distraction and social concerns. To address these concerns, we built ParseJargon, an interactive LLM-powered system providing real-time personalized jargon support tailored to users’ individual backgrounds in online meetings. We first evaluated the effectiveness of personalization in a controlled setting with human participants. By comparing ParseJargon against baseline (no support) and general-purpose (non-personalized) conditions, we found that ParseJargon provided more precise jargon identification, and enhanced participants’ comprehension, engagement, and appreciation of colleagues’ work. We then evaluated the potential for using ParseJargon in real-time meetings through a latency test.
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记录 #1 · 2026-07 · 最新观测版本
ParseJargon: Personalized Real-time Jargon Support in Online Meetings
Effective interdisciplinary communication is frequently hindered by domain-specific terms. These terms, or jargon, are dependent on a listener’s background, and rarely do listeners seek explanations due to distraction and social concerns. To address these concerns, we built ParseJargon, an interactive LLM-powered system providing real-time personalized jargon support tailored to users’ individual backgrounds in online meetings. We first evaluated the effectiveness of personalization in a controlled setting with human participants. By comparing ParseJargon against baseline (no support) and general-purpose (non-personalized) conditions, we found that ParseJargon provided more precise jargon identification, and enhanced participants’ comprehension, engagement, and appreciation of colleagues’ work. We then evaluated the potential for using ParseJargon in real-time meetings through a latency test.
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