1 citations · 3 across the 3 of their papers we have counts for
4 papers
Seq vs Seq: An Open Suite of Paired Encoders and Decoders
Orion Weller, Kathryn Ricci, Marc Marone +3
The large language model (LLM) community focuses almost exclusively on decoder-only language models, since they are easier to use for text generation. However, a large subset of th…
How Grounded is Wikipedia? A Study on Structured Evidential Support and Retrieval
William Walden, Kathryn Ricci, Miriam Wanner +4
Wikipedia is a critical resource for modern NLP, serving as a rich repository of up-to-date and citation-backed information on a wide variety of subjects. The reliability of Wikipe…
Rank-K: Test-Time Reasoning for Listwise Reranking
Eugene Yang, Andrew Yates, Kathryn Ricci +4
Retrieve-and-rerank is a popular retrieval pipeline because of its ability to make slow but effective rerankers efficient enough at query time by reducing the number of comparisons…
Rank1: Test-Time Compute for Reranking in Information Retrieval
Orion Weller, Kathryn Ricci, Eugene Yang +3
We introduce Rank1, the first reranking model trained to take advantage of test-time compute. Rank1 demonstrates the applicability within retrieval of using a reasoning language mo…