Yuxi Chen

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published 2 models 24 days ago

ReCAP-Agent/ReCAP-32B-Instruct

Image-Text-to-Text • 33B • Updated 27 days ago • 9

ReCAP-Agent/ReCAP-8B-Instruct

Image-Text-to-Text • 9B • Updated 27 days ago • 21

updated 2 models 27 days ago

ReCAP-Agent/ReCAP-32B-Thinking

Image-Text-to-Text • 33B • Updated 27 days ago • 17 • 4

ReCAP-Agent/ReCAP-8B-Thinking

Image-Text-to-Text • 9B • Updated 27 days ago • 6 • 2

updated a collection 27 days ago

ReCAP Agent

Collection

ReCAP is a framework for training and evaluating CAPTCHA-capable GUI agents using dynamic tasks, benchmarks, and unified evaluation. • 5 items • Updated 27 days ago

updated 2 models 27 days ago

ReCAP-Agent/ReCAP-32B-Instruct

Image-Text-to-Text • 33B • Updated 27 days ago • 9

ReCAP-Agent/ReCAP-8B-Instruct

Image-Text-to-Text • 9B • Updated 27 days ago • 21

liked a dataset 27 days ago

ReCAP-Agent/ReCAP-187k-SFT

Viewer • Updated Mar 26 • 188k • 9 • 8

New activity in ReCAP-Agent/ReCAP-32B-Thinking 27 days ago

When ReCAP-32B-Instruct?

1

#2 opened about 1 month ago by

radna

upvoted a paper 3 months ago

OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

Paper • 2606.02031 • Published Jun 1 • 22

updated a dataset 5 months ago

ReCAP-Agent/ReCAP-187k-SFT

Viewer • Updated Mar 26 • 188k • 9 • 8

liked 2 models 5 months ago

ReCAP-Agent/ReCAP-32B-Thinking

Image-Text-to-Text • 33B • Updated 27 days ago • 17 • 4

ReCAP-Agent/ReCAP-8B-Thinking

Image-Text-to-Text • 9B • Updated 27 days ago • 6 • 2

published 2 models 5 months ago

ReCAP-Agent/ReCAP-32B-Thinking

Image-Text-to-Text • 33B • Updated 27 days ago • 17 • 4

ReCAP-Agent/ReCAP-8B-Thinking

Image-Text-to-Text • 9B • Updated 27 days ago • 6 • 2

updated a Space 5 months ago

Running

README

🏃

updated a collection 5 months ago

ReCAP Agent

Collection

ReCAP is a framework for training and evaluating CAPTCHA-capable GUI agents using dynamic tasks, benchmarks, and unified evaluation. • 5 items • Updated 27 days ago

published a Space 5 months ago

Running

README

🏃