Author

Arun George

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#artificial intelligence Preprint Oct 2026

GAAC: Lossless KV Compression for Bandwidth-Efficient LLM Inference on Personal Devices

Group-Adaptive Additive Codec (GAAC), a lossless KV compression and serving system that exploits exponent redundancy to reduce storage and accelerate attention without introducing KV approximation, is presented.

Yi-Pin Guo, Arun George, Siddharth Joshi · 0 citations

#artificial intelligence Preprint Aug 2026

QTEA: Ternary LLMs with Sparse Residual Salient Weight and By-Column Optimization

This work presents QTEA, a sub-2-bit PTQ framework that quantizes weights into ternary values and uses salient weights as residual error compensators and develops a lookup-table based kernel that achieves 7.2% faster per-token generation over an FP16 baseline.

Yi-Pin Guo, Arun George, Jie Fu et al. · 1 citation · ⚡1