Can Large Language Models Capture Dissenting Human Voices?

Can Large Language Models Capture Dissenting Human Voices?

23 May 2023

Papers citing "Can Large Language Models Capture Dissenting Human Voices?"

8 / 8 papers shown

Title
Training and Evaluating with Human Label Variation: An Empirical Study K. K. Meladel Mistica Timothy Baldwin Jey Han Lau 60 0 0 03 Feb 2025
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets Tommaso Giorgi Lorenzo Cima T. Fagni M. Avvenuti S. Cresci 38 8 0 10 Oct 2024
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections Leah von der Heyde Anna Haensch Alexander Wenz Bolei Ma 49 2 0 29 Aug 2024
Unraveling the Dominance of Large Language Models Over Transformer Models for Bangla Natural Language Inference: A Comprehensive Study Fatema Tuj Johora Faria Mukaffi Bin Moin Asif Iftekher Fahim Pronay Debnath Faisal Muhammad Shah 21 2 0 05 May 2024
We're Afraid Language Models Aren't Modeling Ambiguity Alisa Liu Zhaofeng Wu Julian Michael Alane Suhr Peter West Alexander Koller Swabha Swayamdipta Noah A. Smith Yejin Choi 63 87 0 27 Apr 2023
Stop Measuring Calibration When Humans Disagree Joris Baan Wilker Aziz Barbara Plank Raquel Fernández 16 53 0 28 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
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 6,927 0 20 Apr 2018