Alex Braverman

Undergraduate Student, Cornell University

Incoming Research Scientist, Autoscience Institute

Email: ab3349 [at] cornell [dot] edu

Research interests

My research interests span the intersection of reinforcement learning, large language models, and causality. I am fortunate to be advised by Weitong Zhang and Elias Bareinboim.

Selected publications

Test-Time Scaling for Multistep Reasoning in Small Language Models via A* Search. A. Braverman, W. Zhang, Q. Gu. NeurIPS 2025 Workshop on Bridging Language, Agent, and World Models for Reasoning and Planning. [PDF]
Mitigating hallucination in large language models with explanatory prompting. A. Braverman, W. Zhang, Q. Gu. NeurIPS 2024 Workshop on Statistical Foundations of LLMs and Foundation Models. [PDF]
Toward Fast Query Serving in Key-Value Store Migration with Approximate Telemetry. A. Braverman, Z. Liu. SIGMETRICS Performance Evaluation Review, 51(2), 91–93, 2023. [DOI]

All publications