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cs.AI2026

Never Stop Thinking: Continuous-Time Language Agents

Bojie Li, Noah Shi

Voice agents built on LLMs follow a rigid listen-think-speak loop that inserts seconds of dead air before every reply. We show that continuous-time cognition (thinking while listen…

cs.AI2026

The Model Knows Your Project, Not You: Measuring Recognition in LLMs with NameRank

Bojie Li, Noah Shi

What a frontier model recalls about a person or tool from its own weights -- before any retrieval step -- often shapes the first description a human sees, making that parametric co…

cs.AI2026

Interaction Scaling: Grounding the Third Axis of Test-Time Compute

Bojie Li, Noah Shi

There are two standard ways to spend more compute at test time: let a model reason longer, or sample more attempts and keep one. Both share a hidden limit: they are internal. Every…

cs.AI2026

Whose Side Is Your Agent On? Multi-Party Principal Loyalty in LLM Agents

Bojie Li, Noah Shi

A rapidly growing class of LLM agents is multi-party: the agent acts for a principal (who briefs it, sends follow-ups, and receives results) while also conversing in a separate cha…

cs.AI2026

Agent-Computer Observation Interfaces Enable Dynamic Computer Use

Bojie Li, Noah Shi

SWE-agent established the action interface as an underexplored design axis for software-engineering agents; we make the analogous case for the observation interface in computer-use…

cs.AI2026

The Latent Bridge: A Continuous Slow-Fast Channel for Real-Time Game Agents

Bojie Li, Noah Shi

A real-time agent for general computer use - with games as the most demanding case - must act within tens of milliseconds while still planning over seconds. These two regimes sit a…

cs.AI2026

User as Engram: Internalizing Per-User Memory as Local Parametric Edits

Bojie Li

Personal memory in a language model is two problems: content and reasoning skill. The brain keeps the two apart (a sparse, local engram in the hippocampus for each episode, a slow…

cs.AI2026

PreAct: Computer-Using Agents that Get Faster on Repeated Tasks

Bojie Li

Computer-using agents drive real software through the screen -- clicking and typing -- but they solve every task from scratch: asked to repeat a task, an agent re-reads the screen,…

cs.AI2026

User as Code: Executable Memory for Personalized Agents

Bojie Li

A personalized AI agent needs a user memory: a persistent model of who the user is, built across many conversations and consulted on each new one. Today this memory is almost alway…

cs.AI2026

OpenURMA: A Clean-Room Open Implementation of the Unified Bus Protocol

Bojie Li

Modern datacenter RDMA is bottlenecked at the network interface, not the wire. A NIC running RoCE or InfiniBand holds per-connection state for every (application, remote-endpoint)…