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cs.CL2026
From Copying to Composition: How Language Models Develop In-Context Learning
Minglai Yang, Xinyu Guo, Renxiong Wang +3
In-context learning (ICL) allows language models to adapt their behavior from instructions and demonstrations in a prompt, but accuracy alone does not reveal how contextual informa…
cs.CL2026
Spine-Branch Coordination for Multi-agent Computer Use
Mian Zhang, Manasi Sharma, Sheng Zhang +5
Computer use agents (CUAs) are increasingly deployed as multi-agent systems that decompose a task into multiple subtasks executed across parallel virtual machines (VMs). However, a…