Work

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Year: 2024

Type: conference-paper

Abstract: Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/2024.emnlp-main.322

Authors: Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li

Institutions: Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Alibaba Group (China)

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, National Key Research and Development Program of China, Shenzhen Science and Technology Innovation Program

Awards: G5197416087, G7310247692, G764773819

OpenAlex ID: W4404783613

FWCI: 4.405

Cites:

Cited by: 15

Related to: 10