Longtao Zheng 郑龙韬

Email: ltzheng01 at gmail dot com

GitHub / Google Scholar

Longtao Zheng is a Researcher at ByteDance, leading RL for LLM agents. We're aggressively growing our research team! We offer competitive compensation, excellent research environments, and massive compute based in Singapore/Beijing/Shanghai. Feel free to email: longtao dot zheng at bytedance dot com.

He was a PhD student at the Nanyang Technological University (NTU) Singapore, advised by Prof. Bo An. Previously, he obtained his Bachelor's degree in computer science from University of Science and Technology of China (USTC) in 2022.

Publications ( show selected / show all by date / show all by topic )

Topics: LLM/RL Agents (*/†: indicates equal contribution.) Past topics: Multi-Agent RL / Video Generation

Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems

Lang Feng, Longtao Zheng, Shuo He, Fuxiang Zhang, Bo An

Preprint Paper / Code

Stable training algorithm and open-source codebase for multi-agent LLM RL

The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL

Yingru Li, Jiawei Xu, Ziniu Li, Jiacai Liu, Wei Liu, Yuxuan Tong, Longtao Zheng, Zhenghai Xue, Yaxiang Zhang, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang

Preprint Paper / Code (merged to verl)

A token-level baseline prevents RL training collapse and reduces token consumption

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Wei Liu, Jiawei Xu, Yingru Li, Longtao Zheng, Tianjian Li, Qian Liu, Junxian He

Preprint Paper / Code

Optimizing Triton kernel generation with multi-turn RL and test-time scaling

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Zhenghai Xue, Longtao Zheng, Qian Liu, Yingru Li, Zejun Ma, Bo An

ICLR 2026 Paper / Code

Simple trajectory filtering stabilizes multi-turn RL and emerges diverse reasoning

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An

ICML 2025 Paper / Code

Fine-tuning VLM agents with online RL

Cradle: Empowering Foundation Agents Towards General Computer Control

Cradle Team (Longtao Zheng as core contributor)

ICML 2025 Paper / Project Page / Code

An agent that can play AAA video games

MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation

Longtao Zheng, Yifan Zhang, Hanzhong Guo, Jiachun Pan, Zhenxiong Tan, Jiahao Lu, Chuanxin Tang, Bo An, Shuicheng Yan

TMLR Paper / Project Page / Code / Model

A SOTA and open-weight model for audio-driven talking video generation

AgentStudio: A Toolkit for Building General Virtual Agents

Longtao Zheng, Zhiyuan Huang, Zhenghai Xue, Xinrun Wang, Bo An, Shuicheng Yan

ICLR 2025 Paper / Project Page / Code / Data

A trinity of environments, tools, and benchmarks for general virtual agents

A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist

Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An

The first multimodal agent for financial trading

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An

ICLR 2024 Paper / Project Page / Code

One of the earliest web agents with state abstraction, trajectory prompting, and memory

True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning

Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An

ICLR 2024 Paper / Code

Fine-tuning LLM agents with online RL

Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification

Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan

ICML 2023 Paper

A causality-based solution to deal with type confounding in ad hoc teamwork

Multi-Agent Multi-Game Entity Transformer: Towards Generalist Models in MARL

Rundong Wang, Weixuan Wang, Xianhan Zeng, Liang Wang, Zhengjie Lian, Yiming Gao, Feiyu Liu, Siqin Li, Xianliang Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Longtao Zheng, Zinovi Rabinovich, Bo An

DAI 2024 Best Paper Award Paper

A generalist transformer for Honor of Kings, Starcraft II, and Neural MMO

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning

Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan

Preprint Paper / Code

Autocurricula for MARL in complex sparse-reward environments like Google Football