collaborators

5 papers

cs.DC2025

Efficient Multi-Adapter LLM Serving via Cross-Model KV-Cache Reuse with Activated LoRA

Allison Li, Kristjan Greenewald, Thomas Parnell +1

Modern large language model (LLM) systems increasingly rely on multi-turn pipelines that are composed of multiple task-specific adapters, yet existing serving frameworks remain ine…

cs.AI2024

On the Effects of Data Scale on UI Control Agents

Wei Li, William Bishop, Alice Li +4

Autonomous agents that control computer interfaces to accomplish human tasks are emerging. Leveraging LLMs to power such agents has been of special interest, but unless fine-tuned…

cs.AI2024

Latent State Estimation Helps UI Agents to Reason

William E Bishop, Alice Li, Christopher Rawles +1

A common problem for agents operating in real-world environments is that the response of an environment to their actions may be non-deterministic and observed through noise. This r…

cs.AI2024

Dissociation of Faithful and Unfaithful Reasoning in LLMs

Evelyn Yee, Alice Li, Chenyu Tang +3

Large language models (LLMs) often improve their performance in downstream tasks when they generate Chain of Thought reasoning text before producing an answer. We investigate how L…

cs.AI2024

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Christopher Rawles, Sarah Clinckemaillie, Yifan Chang +12

Autonomous agents that execute human tasks by controlling computers can enhance human productivity and application accessibility. However, progress in this field will be driven by…