Longtao Zheng

Orcid: 0000-0002-7301-0862

According to our database1, Longtao Zheng authored at least 20 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems.
CoRR, February, 2026

The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL.
CoRR, February, 2026

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations.
CoRR, February, 2026

MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation.
Trans. Mach. Learn. Res., 2026

2025
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning.
CoRR, September, 2025

Cradle: Empowering Foundation Agents towards General Computer Control.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

AgentStudio: A Toolkit for Building General Virtual Agents.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning.
Int. J. Artif. Intell. Robotics Res., June, 2024

Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study.
CoRR, 2024

True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning.
CoRR, 2024

A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-agent Multi-game Entity Transformer: Towards Generalist Models in MARL.
Proceedings of the 2024 6th International Conference on Distributed Artificial Intelligences, 2024

2023
Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control.
CoRR, 2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.
CoRR, 2023

Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification.
Proceedings of the International Conference on Machine Learning, 2023

2022
Contextual Data Cleaning with Ontology Functional Dependencies.
ACM J. Data Inf. Qual., 2022

2021
Discovery and Contextual Data Cleaning with Ontology Functional Dependencies.
CoRR, 2021


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