Computer-use agents are usually improved by strengthening perception: better models for reading a screenshot and choosing where to click. Yet a screenshot is only a lossy rendering of the underlying program state, e.g., the files, application backends, and DOM that hold the task data. Different states can produce the s...
Yan Yang, Xiangru Jian, Ziyang Luo et al.· arXiv.org· 0 citations
Reinforcement learning (RL) has become an effective way to improve the tool-use ability of large language models (LLMs), but most existing RL frameworks stop at the policy update. For every new domain, the user is left with two hard systems problems: standing up an isolated environment for each of hundreds of concurren...
Ziyang Luo, Yan Yang, Xiang-Ru Jian et al.· 0 citations
Exploring bacteriophage structural diversity is essential for understanding phage biology and for advancing phage-based therapies. Here, we determine the cryo-electron microscopy structure of Jabs, providing, to our knowledge, the first high-resolution view of a phage infecting the multidrug-resistant human pathogen My...
Christian Cambillau, Jun Hao Liew, Bernice Siu Yan Tan et al.· bioRxiv· 0 citations
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