Researchers introduced Temporal Global Policy Optimization (TGPO), a reinforcement learning algorithm that improves temporal awareness in multimodal large language models for egocentric video understa…
Researchers propose a Cross-Referential Rewriter (CRR) caption framework to improve Text-to-Sounding-Video (T2SV) generation by addressing text conditioning bottlenecks and cross-modal fusion challeng…
A study by researchers including Aneesh Pappu and James Zou found that self-organizing multi-agent LLM teams fail to match the performance of their best individual expert, with losses up to 41.1% on M…
Researchers have introduced VSAS-Bench, a new benchmark for evaluating visual streaming assistant models that process continuous video frames in real time. The framework provides over 18,000 temporall…