- [07/2023] New! One paper on a scientific reasoning benchmark (SciBench) is submitted to Preprint.
- [07/2023] New! I am co-organizing the 3rd MATH-AI Workshop at NeurIPS 2023. See you in New Orleans!
- [06/2023] New! Excited to receive the UCLA Dissertation Year Fellowship.
- [05/2023] New! Honored to deliver a guest lecture for UCLA CS 263: Natural Language Processing. [Slides]
- [05/2023] New! One paper on theorem-driven math question answering (TheoremQA) is available at Preprint.
- [05/2023] New! Honored to deliver a invited talk on tool-augmented LLMs at Google Brain. [Slides]
- [05/2023] New! Delighted to join prestigious LightingAI event as invited speaker on Discord.
- [05/2023] New! A paper on multimodal procedural planning is available at Preprint.
- [05/2023] New! One survey paper on deep learning for mathematical reasoning is accepted to ACL 2023.
- [04/2023] New! LLaMA-Adapter-V2, a parameter-efficient visual instruction model, is available at Preprint.
- [04/2023] New! One tutorial proposal on mathematical reasoning is accepted to IJCAI 2023.
- [04/2023] New! One paper on tool augmented LLMs (Chameleon) is available at Preprint.
- [04/2023] New! Two papers are accepted to CVPR 2023 O-DRUM Workshop.
- [03/2023] New! One paper on fine-tuning LLaMA in one hour (LLaMA-Adapter) is available at Preprint.
- [01/2023] New! One paper on in-context learning for math reasoning (PromptPG) is accepted to ICLR 2023.
- [12/2022] New! A survey paper on deep learning for mathematical reasoning is available at Preprint.
- [12/2022] New! One paper is accepted to AAAI’23 KnowledgeNLP Workshop as an Oral Presentation.
- [12/2022] New! I am excited to join Microsoft Research as a research intern!
- [10/2022] New! Happy to receive the NeurIPS 2022 Scholar Award.
- [10/2022] New! Two papers on mathematical reasoning are accepted to EMNLP 2022.
- [09/2022] New! One paper on prompt learning for math reasoning (PromptPG) is submitted to Preprint.
- [09/2022] New! One paper on chain-of-thought reasoning for ScienceQA is accepted to NeurIPS 2022.
- [07/2022] New! I am co-organizing the 2nd MATH-AI Workshop at NeurIPS 2022. See you in New Orleans!
- [07/2022] New! One paper on socially intelligent agents is accepted to SIGDIAL 2022.
- [04/2022] Excited to be listed as a Highlighted Reviewer for ICLR 2022.
- [03/2022] I am excited to join Allen Institute for AI (AI2) as a research intern!
- [03/2022] One paper on character animation sampling is submitted to Preprint.
- [12/2021] Two papers are accepted to AAAI 2022.
- [10/2021] One paper on visual question answering for icon images (IconQA) is accepted to NeurIPS 2021.
- [07/2021] I am co-organizing the MATHAI4ED Workshop at NeurIPS 2021. Welcome to participate!
- [07/2021] Our workshop proposal for Math AI for Education (MATHAI4ED) is accepted to NeurIPS 2021.
- [05/2021] One paper on interpretable geometry problem solving is accepted to ACL 2021 as an Oral Presentation.
- [05/2021] One paper on social relation inference in dialogues is accepted to ACL 2021 as an Oral Presentation.
- [03/2021] One paper on socially intelligent agents is submitted to Preprint.
I am a Postdoctoral Scholar at Stanford University. I am affiliated with Stanford AI Lab and Zou's Group, where I am fortunate to be advised by James Zou.
I received my Ph.D. in Computer Science from UCLA, advised by Kai-Wei Chang and Song-Chun Zhu. I was a member of UCLA Natural Language Processing Group (UCLA NLP) and the Center for Vision, Cognition, Learning, and Autonomy (VCLA). Previously, I received my M.S. in computer science at Tsinghua University, supervised by Jianyong Wang. My research has been funded by Amazon PhD Fellowship, Bloomberg Data Science Ph.D. Fellowship, Qualcomm Innovation Fellowship, UCLA Dissertation Year Fellowship, and NeurIPS Scholar Award.
My research goal is to build machines that can reason and collaborate with humans for the common good. My primary research focuses on machine learning and NLP, particularly machine reasoning, mathematical reasoning, and scientific discovery.
- Mathematical reasoning in multimodal and knowledge-intensive contexts [MathVista] [MathVerse] [PromptPG] [Inter-GPS] [IconQA] [QRData] [Lila] [MATH-AI]
- Tool-augmented large language models for planning, reasoning, and generation [TextGrad] [Chameleon] [VDebugger] [TheoremQA]
- Parameter-efficient instruction tuning for large language models and vision-language models [STIC] [LLaMA-Adapter] [LLaMA-Adapter V2] [SPHINX-X]
- AI for scientific reasoning and discovery, including benchmarks, algorithms, and systems [ScienceQA] [SciBench]
