25 citations · 39 across the 12 of their papers we have counts for
4 papers · 1 filter
What Does a Token Cost? A Mixture-of-Agents Measurement of Sufficient Per-Token Compute
Zhixu Du, Weijia Han, Hai Helen Li +1
Large language models spend the same amount of computation on every token they generate, regardless of how difficult each token is to produce. Methods such as speculative decoding…
AUDITA: certified auditing and causal attribution of adverse outcomes in autonomous multi-agent systems
Zhixu Du, Yiran Chen
Physical automation is scaling toward fleets of embodied machines commanded by an AI brain. Early deployments already run factories and warehouses at production rates beyond any hu…
DecodeShare: Tracing the Shared Subspace of LLM Decode-Time Decisions
Zishan Shao, Lixun Zhang, Kangning Cui +10
Large language models (LLMs) handle many tasks with one set of parameters, but under KV-cached inference it is unclear what task-general structure, if any, is used at decode time r…
Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback
Jingwei Sun, Zhixu Du, Yiran Chen
Large language models (LLMs) have demonstrated remarkable proficiency in a range of natural language processing tasks. Once deployed, LLMs encounter users with personalized factual…