NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing

18 May 2023

Papers citing "NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing"

8 / 8 papers shown

Title
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification Hongfei Huang Tingting Liang Xixi Sun Zikang Jin Yuyu Yin NoLa 37 1 0 09 Jul 2024
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition Elena Merdjanovska Ansar Aynetdinov Alan Akbik NoLa 29 1 0 13 May 2024
Exploring the Robustness of In-Context Learning with Noisy Labels Chen Cheng Xinzhi Yu Haodong Wen Jinsong Sun Guanzhang Yue Yihao Zhang Zeming Wei NoLa 24 6 0 28 Apr 2024
Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought Alex Havrilla Maia Iyer 19 7 0 06 Feb 2024
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 29 122 0 10 Dec 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 243 782 0 05 Dec 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,190 0 01 Sep 2014