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GenSI: Generative Symbolic Intelligence

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http://61.241.63.126:5000/
GenSI_official
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

fdu-lcz  authored a paper 8 days ago
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
fdu-lcz  authored a paper 8 days ago
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges
fdu-lcz  authored a paper 8 days ago
From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
View all activity

YU PEI's profile pictureHao Zhou's profile pictureKeyue Qiu's profile pictureKingsley's profile pictureZhe Zhang's profile pictureFanzhehuan's profile pictureHugh Liu's profile pictureChangze Lv's profile pictureJiang Zhou's profile pictureyuanhangtangle's profile pictureThomas Wang's profile picture

GenSI 's models 10

GenSI/moma-modules

Updated Apr 26

GenSI/MoMa-modules-ICLR

Other • Updated Mar 2 • 2

GenSI/AMix-1-1.7B

Updated Sep 29, 2025 • 2

GenSI/MolJO

Updated Sep 14, 2025 • 2

GenSI/SLM

Updated Aug 31, 2025

GenSI/CrysBFN

Updated Jul 4, 2025 • 2

GenSI/MolPilot

Updated Jul 3, 2025 • 2

GenSI/MolCRAFT

Updated Jun 30, 2025 • 2

GenSI/ProfileBFN_150M

Updated Jun 10, 2025 • 2

GenSI/ProfileBFN_650M

Updated Jun 10, 2025 • 2
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