Jixuan Chen

Orcid: 0000-0003-4980-6913

According to our database1, Jixuan Chen authored at least 15 papers between 2023 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
OpenCUA: Open Foundations for Computer-Use Agents.
CoRR, August, 2025

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents.
CoRR, July, 2025

OPT-BENCH: Evaluating LLM Agent on Large-Scale Search Spaces Optimization Problems.
CoRR, June, 2025

Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis.
CoRR, May, 2025

Wan: Open and Advanced Large-Scale Video Generative Models.
CoRR, March, 2025

What Is a Good Caption? A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Coverage of MLLMs.
CoRR, February, 2025

Dual-branch adjacent connection and channel mixing network for video crowd counting.
Pattern Recognit., 2025

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
COMMA: A Communicative Multimodal Multi-Agent Benchmark.
CoRR, 2024

BACON: Supercharge Your VLM with Bag-of-Concept Graph to Mitigate Hallucinations.
CoRR, 2024

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Effective and Efficient Lexicographical Order Dependency Discovery.
IEEE Trans. Knowl. Data Eng., September, 2023

Discovery of Approximate Lexicographical Order Dependencies.
IEEE Trans. Knowl. Data Eng., April, 2023


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