From the 1 of 17 linked papers with an AI index.
3 citations · 3 across the 2 of their papers we have counts for
17 papers
Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards
Yuxuan Zhu, Rohan Alur, Daniel Kang
The paper derives the first non‑vacuous PAC‑Bayes generalization bounds for parameter‑efficient reinforcement learning with verifiable rewards applied to billion‑parameter language…
Measuring Agents in Production
Melissa Z. Pan, Negar Arabzadeh, Riccardo Cogo +22
LLM-based agents already operate in production across many industries, yet we lack an understanding of what technical methods make deployments successful. We present the first syst…
Human-Level Text-to-SQL via Reinforcement Learning on Verified Data, Without Pipeline Engineering
Yuxuan Zhu, Tengjun Jin, Yoojin Choi +1
Translating natural language questions to SQL queries (Text-to-SQL) is a long-standing problem in database research. Recent efforts have focused on improving accuracy by building i…
Behavioral Fingerprints for LLM Endpoint Stability and Identity
Jonah Leshin, Manish Shah, Ian Timmis +1
The consistency of AI-native applications depends on the behavioral consistency of the model endpoints that power them. Traditional reliability metrics such as uptime, latency and…
SODIUM: From Open Web Data to Queryable Databases
Chuxuan Hu, Philip Li, Maxwell Yang +1
During research, domain experts often ask analytical questions whose answers require integrating data from a wide range of web sources. Thus, they must spend substantial effort sea…
Accelerating Approximate Analytical Join Queries over Unstructured Data with Statistical Guarantees
Yuxuan Zhu, Tengjun Jin, Chenghao Mo +1
Analytical join queries over unstructured data are increasingly prevalent in data analytics. Applying machine learning (ML) models to label every pair in the cross product of table…