3 citations · 5 across the 26 of their papers we have counts for
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cs.IR2026
Stop Overthinking: Unlocking Efficient Listwise Reranking with Minimal Reasoning
Danyang Liu, Kan Li
Listwise reranking utilizing Large Language Models (LLMs) has achieved state-of-the-art retrieval effectiveness. Recently, reasoning-enhanced models have further pushed these bound…
cs.IR2024★ 1 cited
Generative Dense Retrieval: Memory Can Be a Burden
Peiwen Yuan, Xinglin Wang, Shaoxiong Feng +5
Generative Retrieval (GR), autoregressively decoding relevant document identifiers given a query, has been shown to perform well under the setting of small-scale corpora. By memori…