AI Group @ucsantabarbara.
Profs. @xwang_lk, @YuhengBu, Xifeng Yan, @WilliamWangNLP, @CodeTerminator. Account run by Student Social Committee.
- How well can AI research agents explore new scientific ideas? The latest paper from our lab, Heuresis, combines coding agents with search and quality-diversity algorithms. Algorithms that provide better exploration are the key to unlock new ideas. Check out this threadπKey to realizing Auto Research Agents that can make novel discoveries in AI is understanding and improving their exploration capabilities. To this end, we built Heuresis, a composable framework that combines coding agents with arbitrary search algorithms within a flexible loop.
- Congratulations to @_Chuhan_Li , @xwang_lk, and their collaborators for their SAW-Bench paper on receiving the Best Paper Award Runner-Up from the CVPR 2026 WMAS workshop! πHuman perception is inherently situated β we understand the world relative to our own body, viewpoint, and motion. To deploy multimodal foundation models in embodied settings, we ask: βCan these models reason in the same observer-centric way?β We study this through SAW-Bench:



