14 papers
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…
OneBarrier: What a Network Must Provide for Transparent Fault Tolerance to Be Free
Bojie Li
Transparent fault tolerance -- making an unmodified server binary survive crashes -- has been pursued for four decades without reaching production. Every attempt paid three costs o…
Fine-Grained Computation Offload for Off-the-Shelf Servers in Tens of Lines
Bojie Li
Hardware accelerators now sit on the critical path of online serving. GPUs, FPGAs, and increasingly remote services such as hardware security modules, post-quantum KEMs, and infere…