6 citations · 8 across the 7 of their papers we have counts for
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cs.AI2026
Parallel Context-of-Experts Decoding for Retrieval Augmented Generation
Giulio Corallo, Paolo Papotti
Retrieval Augmented Generation faces a trade-off: concatenating documents in a long prompt enables multi-document reasoning but creates prefill bottlenecks, while encoding document…
cs.AI2024★ 1 cited
Finch: Prompt-guided Key-Value Cache Compression
Giulio Corallo, Paolo Papotti
Recent large language model applications, such as Retrieval-Augmented Generation and chatbots, have led to an increased need to process longer input contexts. However, this require…