Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance

2 November 2023

Papers citing "Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance"

7 / 7 papers shown

Title
Universal Collection of Euclidean Invariants between Pairs of Position-Orientations Gijs Bellaard B. Smets R. Duits 59 0 0 04 Apr 2025
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 30 6 0 03 Apr 2025
NaijaNLP: A Survey of Nigerian Low-Resource Languages Isa Inuwa-Dutse 42 0 0 27 Feb 2025
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models Song Wang Peng Wang Tong Zhou Yushun Dong Zhen Tan Jundong Li CoGe 44 6 0 02 Jul 2024
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 221 862 0 15 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 119 270 0 05 Oct 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 497 0 05 Mar 2020