Author

Pierre Ablin

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#machine learning Preprint Sep 2026

KV-Lingo: Learning KV-Cache Translators with Distillation

Large language models represent context with a key-value (KV) cache. Caches are model-specific: for the same text, models with different architectures or weights produce incompatible representations. This makes it costly to switch models over a shared context: although the context has already been processed by one mode...

Valérie Castin, Keitaro Sakamoto, A. Filippova et al. · 0 citations

#machine learning Preprint Sep 2026

Cartridges++: KV Cache Compression without Off-Context Derailment

Serving long documents to a Large Language Model (LLM) repeatedly is expensive: computations grow with context length, and the memory footprint of the key-value (KV) cache balloons. Compressed KV (CKV) representations aim to mimic the cache of a document and are typically computed once and for all, ahead of inference t...

Sonia Laguna, João Monteiro, Marco Cuturi et al. · 0 citations