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.
Read full article at sourceRelated Intelligence
All stories →OpenAI unveils GPT-6.1 Terra: can control a computer and costs half as much
🔄 OpenAI unveils GPT-6.1 Terra: can control a computer and costs half as much OpenAI released GPT-6.1 Terra — a new AI model capable of understanding screen content, working with applications, filling online forms, analyzing technical drawings, processing…
Разработчик решил заняться реверс-инжинирингом собственного телевизора Samsung стоимостью $3000, заподозрив, что тот ...
Разработчик решил заняться реверс-инжинирингом собственного телевизора Samsung стоимостью $3000, заподозрив, что тот неспроста показывает ему таргетированную рекламу. 🙅 По его словам, в ходе исследования он обнаружил множество механизмов слежения и сбора телеметрии, включая…
NVIDIA awards three teams at HackAlem AI for artificial intelligence developments
As part of AI Month in Astana, an award ceremony was held for the winners of the largest AI hackathon, HackAlem AI. The event was included in the program of the visit of NVIDIA founder and CEO Jensen Huang to Kazakhstan. The hackathon winners got the opportunity to meet Huang in person and …