Min-Hung (Steve) Chen

@CMHungSteven

Staff Research Scientist (actively recruiting research interns!), NVR TW @NVIDIAAI @NVIDIA (Project Lead: DoRA, EoRA, 4D-RGPT, SpatialClaw) | Ph.D. @GeorgiaTech

Taipei City, Taiwan

minhungchen.netlify.app

Joined July 2011

1,763 Following

2,627 Followers

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Min-Hung (Steve) Chen
@CMHungSteven
May 11, 2022
(1/N) Are you looking for #Vision #Transformer papers in various areas? Check out this list of papers including a broad range of different tasks! github.com/cmhungsteve/Aw… Feel free to share with others😀 @Montreal_AI @machinelearnflx @hardmaru @ak92501 @arankomatsuzaki @omarsar0
GitHub - cmhungsteve/Awesome-Transformer-Attention: An ultimately comprehensive paper list of...
From github.com
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Min-Hung (Steve) Chen
@CMHungSteven
Oct 30
I'm looking for one emergency reviewer for my @iclr_conf 2027 batch! If you have experience in VLA / latent reasoning, please DM me. Thank you! #ICLR2027
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Min-Hung (Steve) Chen
@CMHungSteven
Oct 16
Honored to be part of this. First time contributing to a model release at this scale. Grateful to the Nemotron team — the model, the data, and the evals are a much bigger effort than any one piece. Our piece was SpatialClaw: used to build the agentic vision training data for
NVIDIA AI
@NVIDIAAI
Oct 15
01:20
Meet NVIDIA Nemotron 3.5 Super VL Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents. 120B total parameters with 12B active 🧵
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Min-Hung (Steve) Chen
@CMHungSteven
Oct 7
Most failed mods still load. They just behave wrong: no texture, a recipe that never registers, crafting that doesn't consume its inputs. Easy edits land. Deeper ones don't. That's the gap we're investigating.
Max Ku
@vinesmsuic
Oct 6
AI game modding is suddenly all over X. Funny timing for us: we have been chasing a nearby question for almost two years. What does it mean to deliberately *edit* an existing world, rather than generate a new one? We call it World Editing. 🧵(1/10)
Min-Hung (Steve) Chen
@CMHungSteven
Sep 29
SpatialClaw accepted to #NeurIPS2026 🎉 Even GPT-6 Astra gets better with the right action interface. Same training-free harness, no model-specific tuning, 20 spatial benchmarks: GPT-6 Astra: 71.3 → 77.4 (+6.1) Opus 5: 58.5 → 73.5 (+15.0) GPT-6 Sol: 61.2 →
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