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
Chunky Post-Training: Data Driven Failures of Generalization upvoted a collection about 1 month ago
ComprExIT upvoted a paper about 1 month ago
The Hitchhiker's Guide to Agentic AI: From Foundations to SystemsOrganizations
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