Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Paper • 2504.01990 • Published 26 days ago • 261
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding Paper • 2501.12380 • Published Jan 21 • 86
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding Paper • 2501.12380 • Published Jan 21 • 86
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models Paper • 2411.04075 • Published Nov 6, 2024 • 17
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models Paper • 2411.04075 • Published Nov 6, 2024 • 17
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models Paper • 2411.04075 • Published Nov 6, 2024 • 17 • 2
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models Paper • 2410.23266 • Published Oct 30, 2024 • 20
TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models Paper • 2410.23266 • Published Oct 30, 2024 • 20