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Jarvis: Proactive Speech Agent Joins Multi-Party Conversations

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Jarvis, a novel speech agent designed to proactively participate in multi-party conversations. Unlike traditional reactive agents, Jarvis intervenes only when the group misses or misstates a fact and fails to self-correct. The system is grounded in a shared document, ensuring all claims are backed by a source sentence. In tests on the CHI-180-proactive dataset, Jarvis correctly addressed most factual errors while remaining silent 97% of the time when the group self-resolved issues. A live study with 23 participants validated these findings, demonstrating Jarvis's effectiveness in real-time intervention. AI

IMPACT This research could lead to more natural and helpful AI assistants in collaborative environments.

RANK_REASON The item is a research paper detailing a new AI agent and its performance on a specific dataset. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Jarvis: Proactive Speech Agent Joins Multi-Party Conversations

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The item is a research paper detailing a new AI agent and its performance on a specific dataset. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Seunghyun Oh, Hirotaka Hiraki, Shuyue Stella Li, Yulia Tsvetkov, Shyamnath Gollakota ·

    Jarvis: A Proactive Speech Agent for Multi-Party Conversations

    arXiv:2610.07506v1 Announce Type: cross Abstract: Speech agents are reactive and dyadic: they speak when spoken to, and to one person at a time. We ask what it takes for a speech agent to instead take part in a conversation among several people and speak up only when it can help.…

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