The Importance of Human-Labeled Data in the Era of LLMs

The Importance of Human-Labeled Data in the Era of LLMs

18 June 2023

Yang Liu

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Papers citing "The Importance of Human-Labeled Data in the Era of LLMs"

18 / 18 papers shown

Title
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning Hao Ma Tianyi Hu Zhiqiang Pu Boyin Liu Xiaolin Ai Yanyan Liang Min Chen 156 6 0 08 Oct 2024
Red Teaming Language Models with Language Models Ethan Perez Saffron Huang Francis Song Trevor Cai Roman Ring John Aslanides Amelia Glaese Nat McAleese G. Irving AAML 177 667 0 07 Feb 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu Jialu Wang Yang Liu NoLa 85 37 0 02 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation Junnan Li Dongxu Li Caiming Xiong Guosheng Lin MLLM BDL VLM CLIP 549 4,409 0 28 Jan 2022
Ethical and social risks of harm from Language Models Laura Weidinger John F. J. Mellor Maribeth Rauh Conor Griffin J. Uesato ... Lisa Anne Hendricks William S. Isaac Sean Legassick G. Irving Iason Gabriel PILM 119 1,042 0 08 Dec 2021
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei Zhaowei Zhu Weiran Wang Tongliang Liu Gang Niu Yang Liu NoLa 131 260 0 22 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 185 68 0 12 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 190 40 0 12 Oct 2021
A Second-Order Approach to Learning with Instance-Dependent Label Noise Zhaowei Zhu Tongliang Liu Yang Liu NoLa 69 129 0 22 Dec 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 50 55 0 07 Nov 2020
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach Hao Cheng Zhaowei Zhu Xingyu Li Yifei Gong Xing Sun Yang Liu NoLa 68 209 0 05 Oct 2020
Replication Markets: Results, Lessons, Challenges and Opportunities in AI Replication Yang Liu Michael Gordon Juntao Wang Michael Bishop Yiling Chen T. Pfeiffer C. Twardy Domenico Viganola 26 7 0 10 May 2020
Performative Prediction Juan C. Perdomo Tijana Zrnic Celestine Mendler-Dünner Moritz Hardt 142 321 0 16 Feb 2020
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation Yizhe Zhang Siqi Sun Michel Galley Yen-Chun Chen Chris Brockett Xiang Gao Jianfeng Gao Jingjing Liu W. Dolan VLM 189 1,527 0 01 Nov 2019
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates Yang Liu Hongyi Guo NoLa 56 241 0 08 Oct 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 207 1,953 0 06 Jun 2019
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 266 2,194 0 23 Mar 2018
A tutorial on conformal prediction Glenn Shafer V. Vovk 452 1,149 0 21 Jun 2007

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