From the 2 of 6 linked papers with an AI index.
6 papers
The Model Knows Your Project, Not You: Measuring Recognition in LLMs with NameRank
Bojie Li, Noah Shi
The paper introduces NameRank, a metric that quantifies how well large language models can recognize specific people or tools from their internal weights without external retrieval…
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…
RLVP: Penalize the Path, Reward the Outcome
Bojie Li, Noah Shi
Agents acting on our behalf in the real world (e.g. placing phone calls) must learn online from costly, often irreversible interactions rather than cheap simulator steps. Two thing…
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…
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…
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…