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…
- 01.arXiv:2609.12165v1 Announce Type: new Abstract: Meeting continuation requires tracking the agenda, speaker roles, participant intentions, and disagreement across long multi-party discussions
- 02.We introduce the Meeting Dynamic Forecasting Benchmark (MDFB), constructed from 2,207…
This material is provided as an extended analytical summary.
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