#multi-party-conversations News & Analysis

2 articles tagged with #multi-party-conversations. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBearisharXiv – CS AI · Jun 237/10

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MuPPET: A Benchmark for Contextual Privacy of LLM Assistants in Multi-Party Conversations

Researchers introduced MuPPET, a benchmark testing privacy vulnerabilities in large language model assistants operating in multi-party conversations. The study reveals that LLMs leak significantly more sensitive information in group settings than in one-to-one interactions, with both frontier and smaller open-weight models showing substantial exposure risks that existing privacy defenses cannot adequately address.

AINeutralarXiv – CS AI · Jun 26/10

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DraDDP: A Multimodal Multi-Party Dialogue Discourse Parsing Dataset

Researchers have introduced DraDDP, the first publicly available English multimodal dataset for multi-party dialogue discourse parsing, containing 495 dialogue segments from American TV dramas with 6,374 utterances and 9.1 hours of video content. The dataset advances natural language understanding by enabling AI models to identify dependency structures and relation types in conversations across multiple speakers and modalities, with benchmarks demonstrating the value of combining visual and textual information.