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cs.CL2026
CAPO: Constraint-Aware Prompt Optimization for LLM Agents
Victor Ye Dong, Reid Pryzant, Yi Liu +1
Large language models (LLMs) are increasingly deployed as agents that rely on system prompts to use tools and complete tasks. Such deployments impose distinct operational requireme…
cs.LG2026
Aligning the Query Space: Greedy Information Projection for Language Model Data Selection
Victor Ye Dong, Kuan-Yun Lee, Jiamei Shuai +3
Data selection for language models is often framed as balancing example quality and diversity. We argue that both are consequences of a more fundamental principle: selected example…