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I'm Tevin Wang, an undergraduate computer science student at Carnegie Mellon University researching how to improve the capability of large language models, with a focus on tightening the generation-verification gap and raising the verification ceiling. Last summer, I interned as a Member of Technical Staff at OpenAI. Let's chat: feel free to reach out to tevin(at)cmu.edu.

Publications

AutoRule: reasoning chain-of-thought extracted rule-based rewards improve preference learning

Tevin Wang, Chenyan Xiong

Arxiv Preprint, 2025

Paper Code

Deep research comparator: A platform for fine-grained human annotations of deep research agents

Prahaladh Chandrahasan*, Jiahe Jin*, Zhihan Zhang*, Tevin Wang, Andy Tang, Lucy Mo, Morteza Ziyadi, Leonardo FR Ribeiro, Zimeng Qiu, Markus Dreyer, Akari Asai, Chenyan Xiong

Arxiv Preprint, 2025

Paper Code

Understand user opinions of large language models via LLM-powered in-the-moment user experience interviews

Mengqiao Liu*, Tevin Wang*, Cassandra A Cohen, Sarah Li, Chenyan Xiong

ACL Findings, 2025

Paper Code

Interpret and control dense retrieval with sparse latent features

Hao Kang, Tevin Wang, Chenyan Xiong

NAACL, 2025

Paper Code

RAGViz: diagnose and visualize retrieval-augmented generation

Tevin Wang, Jingyuan He, Chenyan Xiong

EMNLP Demonstrations, 2024

Paper Code

*equal contribution

Internship Experience

Member of Technical Staff (Intern)

@ OpenAI SF

Summer 2025

Software Engineering Intern

@ Pinecone NYC

Summer 2024

Software Engineering Intern

@ LanceDB SF

Summer 2023

Software Engineering Intern

@ Chess.com UT

Summer 2021

Resume/CV

You can find my CV here.