Scholar
Tianbao Xie
Google Scholar ID: 8sdGK_0AAAAJ
University of Hong Kong
Artificial Intelligence
Deep Learning
Natural Language Processing
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Citations & Impact
All-time
Citations
4,170
H-index
18
i10-index
21
Publications
20
Co-authors
26
list available
Contact
Email
tianbaoxiexxx@gmail.com
CV
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Publications
12 items
RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System
2026
Cited
1
Qwen3-VL Technical Report
2025
Cited
0
OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents
2025
Cited
0
Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents
2025
Cited
0
OpenCUA: Open Foundations for Computer-Use Agents
2025
Cited
0
OS-MAP: How Far Can Computer-Using Agents Go in Breadth and Depth?
2025
Cited
0
MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
2025
Cited
0
xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations
2025
Cited
0
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Resume (English only)
Academic Achievements
Qwen3-Coder: Agentic Coding in the World (NeurIPS 2025 under submission, July 2025)
Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis (NeurIPS 2024 D&B Track, April 2024)
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments (NeurIPS 2024 D&B Track, April 2024)
OpenAgents: An Open Platform for Language Agents in the Wild (COLM 2024, October 2023)
Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning (ICLR 2024 Spotlight, September 2023)
Binding Language Models in Symbolic Languages (ICLR 2023 Spotlight, October 2022)
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models (EMNLP 2022 Oral, January 2022)
In-Context Learning for Few-Shot Dialogue State Tracking (EMNLP 2022 Findings, March 2022)
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation (arXiv, December 2021)
Background
Third-year Ph.D. student at The University of Hong Kong
Primary research interests in Natural Language Processing (NLP) and Artificial Intelligence (AI)
Passionate about building applications to liberate human employees from labor-intensive tasks
Currently focuses on agent-centric approaches to manipulate large language models for NLP and Robotics tasks
Key projects include UnifiedSKG, Binder, Text2reward, OpenAgents, OSWorld, and OSWorld-G
Co-authors
26 total
Tao Yu
Assistant Professor, Computer Science, University of Hong Kong
Caiming Xiong
Salesforce Research
Zhoujun Cheng
UC San Diego
Victor Zhong
Assistant Professor at Cheriton School of Computer Science, University of Waterloo
Co-author 5
Fan Zhou
Shanghai Jiao Tong University
Noah A. Smith
University of Washington; Allen Institute for Artificial Intelligence
Chen Henry Wu
PhD Student, Carnegie Mellon University
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