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cs.AI2026
From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization
Achille Jacquemond, Yuma Ichikawa, Akira Sakai
Compressing large language models to two bits or fewer is increasingly feasible through block-wise post-training quantization; cross-block variants reconstruct neighboring Transfor…
cs.AI2026
LOGOS: A Living Logic for AI Agent Teams That Evolve With Humans
Yuma Ichikawa, Yamato Arai, Kosaku Kimura +2
AI agents are evolving from answer engines into persistent teams that use tools, delegate work, learn from experience, and modify the artifacts that shape their future behavior. Th…