Jiaming Shen

Jiaming Shen

My Research

The goal of my research is to develop better large language models (LLMs) that help humans for information discovery and problem solving.

Professional Experience

Google DeepMind

Senior Research Scientist • May 2024 — Present

  • Improve LLM (agent) tool use capability via reinforcement learning.
  • Train search-augmented LLM agents via reinforcement learning.
  • Learn better reward models with synthetic data.
  • Build infra and research prototypes for multi-agent applications.

Google Research

Research Scientist & Senior Research Scientist • Sept. 2021 — Apr. 2024

  • Developed and deployed a multilingual headline hallucination detection model.
  • Designed an outline-guided whole news generation model for journalists.

Google Research

Research Intern & Student Researcher • May 2020 — Dec. 2020

  • Developed a new text encoder pre-training strategy using multiple task-specific attention heads.

Microsoft Research

Research Intern • May 2019 — Aug. 2019

  • Developed a self-supervised taxonomy expansion method with position-aware graph neural networks.

LinkedIn

External Researcher • Sep. 2018 — Oct. 2019

  • Proposed a hypernymy discovery method to exploit the context granularity in a text-rich heterogeneous information network.

Google

Research SWE Intern • May 2017 — Aug. 2017

  • Developed a multi-task learning method for email search ranking with auxiliary query clustering.

Education

University of Illinois at Urbana-Champaign ( UIUC )

Ph.D. in Computer Science • Aug. 2016 — Oct. 2021

  • Overall GPA: 4.0/4.0
  • Member of Data Mining Group, supervised by Professor Jiawei Han.

Shanghai Jiao Tong University ( SJTU )

B.S.E. in Computer Science and Technology • Sep. 2012 — Jun. 2016

  • Overall GPA: 3.92/4.0 (91.71/100)     Major GPA: 3.98/4.0 (93.78/100)     Rank: 1/78
  • Member of IEEE honor class, an elite program at SJTU, nurturing computer scientists.

Yale University

International Exchange Student • Jun. 2014 — Aug. 2014

  • One of 10 top students fully funded by notable alumnus Neil Shen.
  • Earned “Certificate of Excellence” at Yale University.

Teaching Experience

UIUC CS512: Data Mining Principle

Teaching Assistant • Spring 2020

UIUC CS412: Introduction to Data Mining

Guest Lecturer • Spring 2019

SJTU CS119: Principles of Computer Algorithms

Teaching Assistant • Summer 2015

SJTU CS114: Programming and Data Structures

Teaching Assistant • Spring 2015

SJTU MA118: Mathematical Analysis I

Teaching Assistant • Fall 2013

Services

  • Senior Area Chair: EMNLP 2025
  • Area Chair: ICLR 2026, ACL (2023, 2024), EMNLP 2024, NAACL 2025
  • Conference PC & Reviewers: NeurIPS 2025, ICML 2025, ICLR 2025, NeurIPS 2024, AAAI (2020-2023), ACL (2020, 2021), EMNLP (2019-2022), NAACL (2021, 2024), KDD (2018-2024), WebConf (2020-2024), WSDM (2018, 2022-2025), ECMLPKDD (2020, 2021, 2023)
  • Journal Reviewer: TKDE, TBD, TPAMI