Work

LAQuer: Localized Attribution Queries in Content-grounded Generation

Year: 2025

Type: conference-paper

Abstract: Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.746

Authors: Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan

Institutions: Bar-Ilan University, University of North Carolina at Chapel Hill

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science Foundation

Awards: CAREER: Semantic Multi-Task Learning for Generalizable and Interpretable Language Generation, AI Institute for Engaged Learning, G6671297155

OpenAlex ID: W4412945217

FWCI: 3.176

Cites:

Cited by: 3

Related to: 10