About
I am a Member of Technical Staff at xAI, currently on the Science of RL team. I also work on post-training and reasoning.
Tianle Li
Member of Technical Staff @ xAI
firstlast@berkeley.edu
Background
Previously, I was an EECS undergraduate at UC Berkeley (2021-2025), where I was fortunate to be advised by Ion Stoica and built LMArena.
During my undergrad, I also spent a year full-time at Nexusflow as part of the LLM post-training team, working with Banghua Zhu and Jiantao Jiao. Additionally, I briefly interned as a student researcher at Google AI Research, where I was working on reasoning.
Research Interests
I am very interested in fundamental problems in training large models and solving superintelligence.
Some problems I've been thinking about:
- Can get more than 1-bit of information per rollout in RL?
- Can we skip mid-training? Can model learn on the fly?