Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Paper • 2504.01990 • Published 6 days ago • 140
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective Paper • 2502.14296 • Published Feb 20 • 45
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Paper • 2502.09560 • Published Feb 13 • 35
Rethinking Diverse Human Preference Learning through Principal Component Analysis Paper • 2502.13131 • Published Feb 18 • 36
Rethinking Diverse Human Preference Learning through Principal Component Analysis Paper • 2502.13131 • Published Feb 18 • 36
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Paper • 2502.09560 • Published Feb 13 • 35
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models Paper • 2411.00836 • Published Oct 29, 2024 • 15 • 5
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models Paper • 2411.00836 • Published Oct 29, 2024 • 15
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models Paper • 2411.00836 • Published Oct 29, 2024 • 15