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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 300 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 280 -
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
Paper • 2503.24235 • Published • 55 -
Seedream 3.0 Technical Report
Paper • 2504.11346 • Published • 67
Huiwon Yun
mangoxb
AI & ML interests
None yet
Recent Activity
new activity
23 days ago
sysuyy/ImgEdit:reference_extract_part7.parquet数据和results_extract_and_visualedit_part7.tar数据不对应
updated
a collection
about 1 month ago
cabinet
updated
a collection
2 months ago
cabinet
Organizations
None yet
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One-Minute Video Generation with Test-Time Training
Paper • 2504.05298 • Published • 109 -
MoCha: Towards Movie-Grade Talking Character Synthesis
Paper • 2503.23307 • Published • 138 -
Towards Understanding Camera Motions in Any Video
Paper • 2504.15376 • Published • 159 -
Antidistillation Sampling
Paper • 2504.13146 • Published • 61
-
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 300 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 280 -
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
Paper • 2503.24235 • Published • 55 -
Seedream 3.0 Technical Report
Paper • 2504.11346 • Published • 67
-
One-Minute Video Generation with Test-Time Training
Paper • 2504.05298 • Published • 109 -
MoCha: Towards Movie-Grade Talking Character Synthesis
Paper • 2503.23307 • Published • 138 -
Towards Understanding Camera Motions in Any Video
Paper • 2504.15376 • Published • 159 -
Antidistillation Sampling
Paper • 2504.13146 • Published • 61
datasets
0
None public yet