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Naimeng Ye

2 accepted papers

2026

Speculative Actions: A Lossless Framework for Faster AI Agents

ICLR 2026oral

AI agents have attracted growing interest across industry and academia, but in practice their execution can be slow. For example, letting two state-of-the-art agents play a game of chess may take hours. A key bottleneck is that agent behavior unfolds sequentially: each action requires an API call, a…

Cited by 0SourcecodeScholar
2025

PersonalLLM: Tailoring LLMs to Individual Preferences

ICLR 2025poster

As LLMs become capable of complex tasks, there is growing potential for personalized interactions tailored to the subtle and idiosyncratic preferences of the user. We present a public benchmark, PersonalLLM, focusing on adapting LLMs to provide maximal benefits for a particular user. Departing from…