Work

Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations

Year: 2022

Type: conference-paper

Abstract: Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.

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

DOI: 10.18653/v1/2022.emnlp-main.155

Authors: Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim

Institutions: Seoul National University, Korea Advanced Institute of Science and Technology, NAVER Cloud (South Korea), Hanyang University, Naver (South Korea)

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

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

Awards: G1152552616, G2632313145, G5051733337, G5065061179, G5323172026, G5563232333, G5635159257, G6325422842

OpenAlex ID: W4385573261

FWCI: 5.527

Cites: 38

Cited by: 41

Related to: 10