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Dongchan Shin

3 accepted papers

2025

OpenCUA: Open Foundations for Computer-Use Agents

NeurIPS 2025spotlight

Vision-language models have demonstrated impressive capabilities as computer-use agents (CUAs) capable of automating diverse computer tasks. As their commercial potential grows, critical details of the most capable CUA systems remain closed. As these agents will increasingly mediate digital interact…

Cited by 0SourceScholar
2025

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows

ICLR 2025oral

Real-world enterprise text-to-SQL workflows often involve complex cloud or local data across various database systems, multiple SQL queries in various dialects, and diverse operations from data transformation to analytics. We introduce Spider 2.0, an evaluation framework comprising $632$ real-world…

2024

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

NeurIPS 2024poster

Autonomous agents that accomplish complex computer tasks with minimal human interventions have the potential to transform human-computer interaction, significantly enhancing accessibility and productivity. However, existing benchmarks either lack an interactive environment or are limited to environm…