Work

Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval

Year: 2025

Type: conference-paper

Abstract: Chaofan Li, Jianlyu Chen, Yingxia Shao, Chaozhuo Li, Quanqing Xu, Defu Lian, Zheng Liu. 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.1071

Authors: Chaofan Li, Jianlyu Chen, Yingxia Shao, Chaozhuo Li, Quanqing Xu, Defu Lian, Zheng Liu

Institutions: Beijing University of Posts and Telecommunications, University of Science and Technology of China, Beijing Academy of Artificial Intelligence, Hong Kong Polytechnic University

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, National Science and Technology Major Project, Beijing Nova Program

Awards: G1108969597, G421627741, G5499064096, G6749463622, G8136954100

OpenAlex ID: W4412944779

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