ComprExIT context-compression models and ICAE baselines: 1B/3B/8B, 4x compression, NTP and SFT variants.
Jiangnan Ye
Jiang-nan
AI & ML interests
NLP, Graph Neural Networks, Computer Vision
Recent Activity
upvoted a paper 1 day ago
Recursive Synthesis for Long-Horizon Terminal Tasks upvoted a paper 11 days ago
Chunky Post-Training: Data Driven Failures of Generalization upvoted a collection about 1 month ago
ComprExITOrganizations
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models 16
Jiang-nan/icae-1b-4x-long8192-sft
3B • Updated • 2
Jiang-nan/icae-1b-4x-long8192-ntp
3B • Updated • 7
Jiang-nan/icae-8b-4x-sft
16B • Updated • 5
Jiang-nan/icae-8b-4x-ntp
8B • Updated • 3
Jiang-nan/icae-3b-4x-sft
7B • Updated • 3
Jiang-nan/icae-3b-4x-ntp
7B • Updated • 6
Jiang-nan/icae-1b-4x-sft
3B • Updated • 6
Jiang-nan/icae-1b-4x-ntp
3B • Updated • 3
Jiang-nan/comprexit-1b-4x-long8192-sft
1B • Updated • 2
Jiang-nan/comprexit-1b-4x-long8192-ntp
1B • Updated • 2