8 papers
The Trade-off Was in the Labels: Causal Supervision for Turn-Aware Streaming ASR
Bojie Li, Noah Shi
A voice agent must decide, moment to moment, whether the user has finished; silence rarely settles it: a caller reading a phone number pauses mid-digits, a one-word "Stop!" ends a…
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…
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…
Parametric Multimodal User Memory: Storing What Captions Cannot Carry
Bojie Li, Noah Shi
A personalized agent needs a user memory: a persistent model of who its user is. Today it is almost always text -- transcripts and captions retrieved by similarity. This serves the…
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…