Author

Maryam Haghifam

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Preprint Jul 2026

SeDeM: Selective Decompression of Hidden-State Memories for Long-Context Question Answering

SeDeM is proposed, a selective decompression framework that decouples compact memory storage from decoder conditioning and reduces online time-to-first-token and improves autoregressive decoding throughput relative to ICAE.

Maryam Haghifam, Jason Cong, Yizhou Sun · 0 citations