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GenSI: Generative Symbolic Intelligence

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http://61.241.63.126:5000/
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GenSI-THUAIR
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AI & ML interests

Our long-term goal is to achieve AGI by creating AI scientists. Specifically, our research directions include deeply unlocking intelligence through LLM, providing a favorable intelligent environment through AI4S foundational models, as well as exploring the in-depth interaction between these two aspects.

Recent Activity

hhhhhhh789  authored a paper about 1 month ago
Steering Protein Family Design through Profile Bayesian Flow
hhhhhhh789  authored a paper about 1 month ago
AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model
hhhhhhh789  authored a paper about 1 month ago
ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation
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Changze Lv's profile picture Hugh Liu's profile picture Jiang Zhou's profile picture Zhe Zhang's profile picture Fanzhehuan's profile picture Hao Zhou's profile picture YU PEI's profile picture Thomas Wang's profile picture Keyue Qiu's profile picture Kingsley's profile picture yuanhangtangle's profile picture

Collections 1

Forward-Learning
  • FLEX: Continuous Agent Evolution via Forward Learning from Experience

    Paper • 2511.06449 • Published Nov 9 • 11
Forward-Learning
  • FLEX: Continuous Agent Evolution via Forward Learning from Experience

    Paper • 2511.06449 • Published Nov 9 • 11

models 8

GenSI/AMix-1-1.7B

Updated Sep 29 • 1

GenSI/MolJO

Updated Sep 14 • 2

GenSI/SLM

Updated Aug 31

GenSI/CrysBFN

Updated Jul 4 • 2

GenSI/MolPilot

Updated Jul 3 • 2

GenSI/MolCRAFT

Updated Jun 30 • 2

GenSI/ProfileBFN_150M

Updated Jun 10 • 2

GenSI/ProfileBFN_650M

Updated Jun 10 • 2

datasets 0

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