Deep Ignorance
Collection
This collection contains the model and data artifacts from O'Brien et al. (2025). https://deepignorance.ai
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32 items
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5
Nick Doiron
monsoon-nlp
AI & ML interests
biology and multilingual models
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Deep Ignorance
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AI-companionship/INTIMA
Organizations
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2627
New work from my socially-minded colleagues at Hugging Face, creating some foundations for AI companionship behavior evaluation.
Evaluation Dataset: AI-companionship/INTIMA
Paper: AI-companionship/INTIMA
Work from @giadap , @frimelle , @yjernite .
Evaluation Dataset: AI-companionship/INTIMA
Paper: AI-companionship/INTIMA
Work from @giadap , @frimelle , @yjernite .
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Models stop describing their architecture and limits challenge
#3 opened 14 days ago
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Add new models
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Latest work on SWE-Bench 🐛
Our two new papers from the SJTU & Huawei: Powered by DeepSeek-V3, we've achieved a new SOTA on the SWE-Bench benchmark!
We introduce two innovative approaches:
⚔️ SWE-Debate: AI agents compete and "debate" to generate the best code fix.
🧠 SWE-Exp: An AI agent learns from past repair "experience" to solve new issues more efficiently.
👇 Explore the future of software development:
SWE-Debate
📄 Paper: https://arxiv.org/abs/2507.23348
💻 Code: https://github.com/YerbaPage/SWE-Debate
SWE-Exp
📄 Paper: https://arxiv.org/abs/2507.23361
💻 Code: https://github.com/YerbaPage/SWE-Exp
Our two new papers from the SJTU & Huawei: Powered by DeepSeek-V3, we've achieved a new SOTA on the SWE-Bench benchmark!
We introduce two innovative approaches:
⚔️ SWE-Debate: AI agents compete and "debate" to generate the best code fix.
🧠 SWE-Exp: An AI agent learns from past repair "experience" to solve new issues more efficiently.
👇 Explore the future of software development:
SWE-Debate
📄 Paper: https://arxiv.org/abs/2507.23348
💻 Code: https://github.com/YerbaPage/SWE-Debate
SWE-Exp
📄 Paper: https://arxiv.org/abs/2507.23361
💻 Code: https://github.com/YerbaPage/SWE-Exp
🚩 Report: Copyright infringement
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[bot] Conversion to Parquet
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