About Me

My name is Zheyuan (Jason) Zhang, a fourth-year Ph.D. Candidate in the Department of Computer Science and Engineering at the University of Notre Dame, advised by Prof. Yanfang (Fanny) Ye.

My research focuses on LLM Agent Optimization, with the goal of building adaptive agents that learn from experience and interaction to perform reliably in complex, evolving real-life environments. Specifically, my work spans three areas:

I am specifically interested in the topics of Agent Uncertainty and Interactive Intent Alignment: when agents face real users’ incomplete or misleading requests and evolving goals in long-horizon agentic tasks, how can we enable them to recognize their own uncertainty, understand the limits of their capabilities, and remain aligned with users through effective and efficient interaction, such as seeking clarification? Specifically, my work covers:

  • Agent Uncertainty (Survey): Uncertainty Quantification (GCPO); Uncertainty Calibration (SAGE, LProp); Uncertainty Utilization (GCPO, RAIL).
  • Interactive Intent Alignment: Benchmarking Intent Misalignment and Shifting (Drift-Bench, Drift-Bench++); Interactive Policy Learning (CLEAT, StaGPO).

For more details, please check my CV here.

News

  • [2026.10] We have released a new survey on agent uncertainty: Uncertainty in LLM Agents: A Comprehensive Survey.
  • [2026.04] Two papers are accepted to ICML 2026.
  • [2026.04] One paper is accepted to ACL 2026. See you in San Diego!
  • [2026.03] I will join ByteDance as Research Scientist Intern this July. See you in Seattle.
  • [2026.02] I will join Amazon as Applied Scientist Intern this April. See you in Seattle.
  • [2026.01] Three papers are accepted to EACL 2026.
  • [2025.10] We have released LLMs4ALL, an extensive survey on LLMs for research and applications in academic disciplines.
  • [2025.09] I will continue my intern at Amazon this Autumn.
  • [2025.09] Two papers are accepted to NeurIPS.
  • [2025.05] Two papers are accepted to ACL.
  • [2025.05] Two papers are accepted by ICML 2025.
  • [2025.02] I will join Amazon as Applied Scientist Intern this Summer. See you in Seattle!
  • [2025.01] One paper is accepted by NAACL 2025. See you in Albuquerque!
  • [2024.11] One paper is accepted by KDD 2025. See you in Toronto!
  • [2024.10] One paper is accepted by WSDM 2025.
  • [2024.09] I will be giving a talk about our work, MOPI-HFRS, at IBM T.J. Watson Research Center. See you in Yorktown Heights!
  • [2024.09] One paper is accepted by NeurIPS 2024.
  • [2024.06] I start collaboration with IBM Research, working under the mentorship of Keerthiram Murugesan.
  • [2024.05] One paper is accepted by KDD 2024.
  • [2024.04] One paper is accepted by IJCAI 2024.

Selected Publications

You can find the full list of my articles on my Google Scholar profile.

Arxiv 26 Sept.
driftbenchpp
Beyond Oracle Communication: Benchmarking Interactive Intent Alignment Under Miscommunication and Evolving User Intent

Zheyuan Zhang, Mengyuan Chao, Ke Xiao, Ziyi Chen, Daoan Zhang, Yan Zhang, Yanfang Ye, Wei Xu

Arxiv 26 Aug.
rail
Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning

Zheyuan Zhang, Manqing Mao, Hong Wang, Zhuoer Wang, Samson Koelle, Jie Yuan, Yanjun Lin, James Feng, Nikki Lijing Kuang, Yanfang Ye, Wei Niu

Arxiv 26 Jun.
gcpo
Regulating What Policies Learn From: Geometry-aware Calibrated Policy Optimization

Zheyuan Zhang, Kaiwen Shi, Han Bao, Zehong Wang, Tianyi Ma, Yanfang Ye

EMNLP'26 Findings
sage
Arxiv 26 Apr.
evolverouter
EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering

Jiatan Huang*, Zheyuan Zhang*, Kaiwen Shi, Yanfang Ye, Chuxu Zhang

ACL'26 Main
agentrouter
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering

Zheyuan Zhang*, Kaiwen Shi*, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye

EACL'26 Findings
mapro
MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference

Zheyuan Zhang, Lin Ge, Hongjiang Li, Weicheng Zhu, Chuxu Zhang, Yanfang Ye

EACL'26 Main
ngrouter
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering

Kaiwen Shi*, Zheyuan Zhang*, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye

ACL'25 Main
ngqa
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning

Zheyuan Zhang*, Yiyang Li*, Nhi Ha Lan Le*, Zehong Wang, Tianyi Ma, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

KDD'25
mopi
MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation

Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

KDD'24
diet
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns

Zheyuan Zhang*, Zehong Wang*, Shifu Hou, Evan Hall, Landon Bachman, Vincent Galassi, Jasmine White, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye

Work Experience

bytedance

ByteDance Seattle, WA, USA

  • Research Scientist (Intern) Jul. 2026 – Oct. 2026
amazon

Amazon Science Seattle, WA, USA

  • Applied Scientist (Intern) Apr. 2026 – Jul. 2026
amazon

Amazon Science Seattle, WA, USA

  • Applied Scientist (Part-time) Aug. 2025 – Dec. 2025
  • Applied Scientist (Intern) May 2025 – Aug. 2025
ibm

IBM Research Yorktown Heights, NY, USA

  • Student Researcher (Part-time) Jun. 2024 – May 2025
coleridge

Coleridge Initiative New York, NY, USA

  • Research Scientist Oct. 2021 – Mar. 2023
  • Associated Research Scientist Aug. 2020 – Oct. 2021
  • Junior Research Scientist (Intern) Oct. 2019 – Aug. 2020

Education

  • 2023.07 - present Ph.D. University of Notre Dame
  • 2019.08 - 2020.08 M.S. New York University
  • 2015.09 - 2019.06 B.S. Wuhan University

Mentorship

I’ve been fortunate to mentor and work alongside many brilliant minds:

Current Mentees

  • Han Bao Ph.D. Student, University of Notre Dame Sept. 2025 – present
  • Jiatan Huang Ph.D. Student, University of Connecticut Aug. 2025 - present
  • Kaiwen Shi Ph.D. Student, University of Notre Dame Mar. 2025 - present
  • Xiaoyu Ma M.S. Student, National University of Singapore Oct. 2025 – present

Former Mentees

  • Nhi Le M.S. Student, Brandeis University Jun. 2024 – Jan. 2025
  • Vinny Galassi Junior Undergraduate, University of Notre Dame 2023 – 2025
  • Sofia Nelson Senior Undergraduate, University of Notre Dame 2024
  • Varun Taneja Senior Undergraduate, University of Notre Dame 2024
  • Evan Hall Senior Undergraduate, University of Notre Dame 2023 – 2024
  • Landon Bachman Senior Undergraduate, University of Notre Dame 2023 – 2024
  • Jasmine White Senior Undergraduate, Purdue University 2023 – 2024

Services

  • Conference Senior Area Chair KDD’26
  • Conference Reviewer NeurIPS’26, ICML’26, ICLR’26, KDD’26, KDD’25, WWW’25
  • Journal Reviewer Transactions on Big Data, DMKD, TIST, TMLR, TWEB
  • Teaching Assistant FA23-CSE-40113, SP24-CSE-40113: Design/Analysis of Algorithms

Invited Talks

  • Sept. 2024 MOPI-HFRS @ IBM Research, Thomas J. Watson Research Center, Yorktown Heights.
  • Jun. 2025 LLM Agents for Code Generation @ Amazon, Seattle.

Contact

  • Email zzhang42 [at] nd [dot] edu
  • Office 247B Fitzpatrick Hall of Engineering
  • Location University of Notre Dame, Notre Dame, IN 46565

Feel free to reach out via email if you’re interested in our research or potential collaborations.