5 citations · 17 across the 17 of their papers we have counts for
4 papers · 1 filter
RouterRetriever: Routing over a Mixture of Expert Embedding Models
Hyunji Lee, Luca Soldaini, Arman Cohan +2
Information retrieval methods often rely on a single embedding model trained on large, general-domain datasets like MSMARCO. While this approach can produce a retriever with reason…
Exploring the Practicality of Generative Retrieval on Dynamic Corpora
Chaeeun Kim, Soyoung Yoon, Hyunji Lee +3
Benchmarking the performance of information retrieval (IR) is mostly conducted with a fixed set of documents (static corpora). However, in realistic scenarios, this is rarely the c…
Nonparametric Decoding for Generative Retrieval
Hyunji Lee, Jaeyoung Kim, Hoyeon Chang +5
The generative retrieval model depends solely on the information encoded in its model parameters without external memory, its information capacity is limited and fixed. To overcome…
Generative Multi-hop Retrieval
Hyunji Lee, Sohee Yang, Hanseok Oh +1
A common practice for text retrieval is to use an encoder to map the documents and the query to a common vector space and perform a nearest neighbor search (NNS); multi-hop retriev…