- 👋 I am a 3rd-year undergraduate student studying Computer Science at California Institute of Technology (Caltech), advised by Prof. Steven Low, with a minor in Robotics advised by Prof. Günter Niemeyer. I am a researcher in the Stanford AI Lab (SAIL), working with Prof. Noah Goodman and Gabriel Poesia in the Computation & Cognition Lab (CoCoLab). I will join Berkeley AI Research (BAIR) Lab, starting June 2025, advised by Prof. Dawn Song.
- 🔎 My current research interest is mainly in LLM reasoning, especially neuro-symbolic AI for formal math and verifiable code generation. In the past, I also published on neuro-symbolic methods for energy-efficient ML systems and neural machine translation.
- ❤️ I have been fortunate to work with Prof. Anima Anandkumar (Caltech), Dr. Kaiyu Yang (Meta), Prof. Tim Sherwood (UC Santa Barbara), and Dr. Jeremy Lau (Google) during my undergrad.
- 📫 I'm open to collaborations. Please feel free to email me at psong@caltech.edu.
CS Undergrad @ Caltech. AI Researcher @ Stanford. Incoming @ UC Berkeley.
-
California Institute of Technology
- Pasadena, CA, United States of America
-
03:44
(UTC -07:00) - peiyang-song.github.io
- @p_song1
- in/peiyang-song-3279b3251
Highlights
- Pro
Pinned Loading
-
lean-dojo/LeanCopilot
lean-dojo/LeanCopilot PublicLLMs as Copilots for Theorem Proving in Lean
-
lean-dojo/LeanDojo
lean-dojo/LeanDojo PublicTool for data extraction and interacting with Lean programmatically.
-
lean-dojo/ReProver
lean-dojo/ReProver PublicRetrieval-Augmented Theorem Provers for Lean
-
lean-dojo/LeanDojoWebsite
lean-dojo/LeanDojoWebsite PublicCode for LeanDojo's website
-
LLM-A-Not-B-Errors
LLM-A-Not-B-Errors PublicOfficial repository for paper "In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models"
Python 4
-
kenantang/cjk-idioms-gpt
kenantang/cjk-idioms-gpt PublicCode and Dataset for EMNLP 2024 Findings Paper
HTML 4
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.