标题为英语GLARE: Generative Learning via Adversarial Reward Estimation For Social Dynamics Forecasting
arXiv:2609.12165v1 Announce Type: new Abstract: Meeting continuation requires tracking the agenda, speaker roles, participant intentions, and disagreement across long multi-party discussions. We introduce the Meeting Dynamic Forecasting Benchmark (MDFB), constructed from 2,207…
AI 摘要：要点
- arXiv:2609.12165v1 Announce Type: new Abstract: Meeting continuation requires tracking the agenda, speaker roles, participant intentions, and disagreement across long multi-party discussions
- We introduce the Meeting Dynamic Forecasting Benchmark (MDFB), constructed from 2,207…
GLARE: Generative Learning via Adversarial Reward Estimation For Social Dynamics Forecasting
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