publications

You can also find my articles on my Google Scholar profile.

* denotes equal contribution. † denotes project lead.

2026

  1. Bridging Databases and Documents: Data-Algorithm Co-Design for Hybrid Question Answering
    Ruofan Wu, Boyi Liu, Fan Shu, Yite Wang, Zhewei Yao, Yuxiong He, and Feng Yan
    In COLM, 2026
    RL DataAgent RL TrainingBenchmark
  2. MidTool: Mid-training Data Synthesis for Agentic Tool Use
    Fengqing Jiang, Yite Wang†, Boyi Liu, Zhaoyang Wang, Canwen Xu, Zhewei Yao, Radha Poovendran, and Yuxiong He
    In COLM, 2026
    Midtrain DataTool Use AgentAgent Training
  3. The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows
    Junbo Li, Boyi Liu, Canwen Xu, Yite Wang, Zhewei Yao, Zhangyang Wang, Qiang Liu, and Yuxiong He
    In COLM, 2026
    Auto Research
  4. Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
    Zhaoyang Wang, Canwen Xu, Boyi Liu, Yite Wang, Siwei Han, Zhewei Yao, Huaxiu Yao, and Yuxiong He
    In ICML, 2026
    RL DataAgent RL Training
    HTML Code Blog
  5. DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science
    Fan Shu*, Yite Wang*†, Ruofan Wu, Boyi Liu, Zhewei Yao, Yuxiong He, and Feng Yan
    In ICLR, 2026
    RL DataAgent RL TrainingBenchmark
    HTML Code Blog
  6. Learning to Self-Evolve
    Xiaoyin Chen, Canwen Xu, Yite Wang, Boyi Liu, Zhewei Yao, Yoshua Bengio, and Yuxiong He
    In Lifelong Agent Workshop at ICLR, 2026
    RL TrainingTest-time Adaptation
  7. Defer Consensus: Long-horizon Multi-Agent Deep Research with Diverse Priors
    Soyoung Yoon, Boyi Liu, Yite Wang, Ruofan Wu, Canwen Xu, Nikki Lijing Kuang, Zhewei Yao, Seung-won Hwang, and Yuxiong He
    Under review, 2026
    Swarm AgentDeep Research
  8. PersonalClaw: Evaluating and Training Personalized AI Assistants with Synthetic Work Environments
    Sida Li, Xiaodong Yu, Boyi Liu, Yite Wang, Zhewei Yao, and Yuxiong He
    Under review, 2026
    Agent TrainingOpenClaw Agent
  9. PRISM-DS: Closing the Task-Profile-to-Skill Loop for Data-Science Agents
    Fan Shu, Yite Wang, Ruofan Wu, Boyi Liu, Zhewei Yao, Yuxiong He, and Feng Yan
    Under review, 2026
    Data Science Agent
  10. Evaluating Open-Web Research Agents with Structured Exploration Maps
    Youngwon Lee, Soyoung Yoon, Yexiao He, Yite Wang, Boyi Liu, Zhewei Yao, Ang Li, Seung-won Hwang, and Yuxiong He
    Under review, 2026
    Deep ResearchEvaluation
  11. Routing with Memory: Test-Time Adaptation without Fine-Tuning
    Ziyue Li, Boyi Liu, Canwen Xu, Yite Wang, Zhewei Yao, Tianyi Zhou, and Yuxiong He
    Under review, 2026
    Model Routing

2025

  1. FullStack Bench: Evaluating LLMs as Full-Stack Coders
    ByteDance Seed-Foundation-Code Team
    Preprint, 2025
    Evaluation
    HTML
  2. Efficient Large Foundation Model Inference: A Perspective from Model and System Co-Design
    Dong Liu*, Zhixin Lai*, Yite Wang*, Jing Wu*, Yanxuan Yu, Zhongwei Wan, Benjamin Lengerich, and Ying Nian Wu
    Preprint, 2025
    SurveyEfficiency
    HTML

2024

  1. LEMON: Lossless Model Expansion
    Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, and Hongxia Yang
    In ICLR, 2024
    Model Expansion
    HTML Code

2023

  1. Balanced Training for Sparse GANs
    Yite Wang*, Jing Wu*, Naira Hovakimyan, and Ruoyu Sun
    In NeurIPS, 2023
    Pruning
    HTML Code
  2. NTK-SAP: Improving Neural Network Pruning by Aligning Training Dynamics
    Yite Wang, Dawei Li, and Ruoyu Sun
    In ICLR, 2023
    Pruning
    HTML Code

2022

  1. Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
    Haoxiang Wang*, Yite Wang*, Ruoyu Sun, and Bo Li
    In CVPR, 2022
    Neural Architecture SearchNTK
    HTML Code

2019

  1. Numerical Investigation of Convective Transport in Redox Flow Battery Tanks: Using Baffles to Increase Utilization
    Yite Wang, and Kyle Smith
    Journal of Energy Storage, 2019
    Computational Physics
    HTML