Work

IterCQR: Iterative Conversational Query Reformulation with Retrieval Guidance

Year: 2024

Type: conference-paper

Abstract: Yunah Jang, Kang-il Lee, Hyunkyung Bae, Hwanhee Lee, Kyomin Jung. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.18653/v1/2024.naacl-long.449

Authors: Yunah Jang, Kang-il Lee, Hyunkyung Bae, Hwanhee Lee, Kyomin Jung

Institutions: Seoul National University, LG AI Research (South Korea), Chung-Ang University

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Seoul National University, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion, Institute of Engineering Research, Seoul National University

Awards: G1152552616, G2586176782, G3450174791, G4700831490, G5065061179, G5635159257, G6758007335

OpenAlex ID: W4401043151

FWCI: 3.427

Cites:

Cited by: 9

Related to: 10