117 citations · 254 across the 9 of their papers we have counts for
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cs.IR2022★ 8 cited
Human Preferences as Dueling Bandits
Xinyi Yan, Chengxi Luo, Charles L. A. Clarke +3
The dramatic improvements in core information retrieval tasks engendered by neural rankers create a need for novel evaluation methods. If every ranker returns highly relevant items…
cs.IR2022★ 4 cited
Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models?
Ellen M. Voorhees, Ian Soboroff, Jimmy Lin
Neural retrieval models are generally regarded as fundamentally different from the retrieval techniques used in the late 1990's when the TREC ad hoc test collections were construct…