Unintended Bias in Language Model-driven Conversational Recommendation

17 January 2022

Papers citing "Unintended Bias in Language Model-driven Conversational Recommendation"

7 / 7 papers shown

Title
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search Hanwen Du B. Peng Xia Ning 38 0 0 12 Oct 2024
Understanding Intrinsic Socioeconomic Biases in Large Language Models Mina Arzaghi Florian Carichon G. Farnadi 29 0 0 28 May 2024
Evaluation of African American Language Bias in Natural Language Generation Nicholas Deas Jessica A. Grieser Shana Kleiner D. Patton Elsbeth Turcan Kathleen McKeown 21 26 0 23 May 2023
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 45 11 0 10 Nov 2022
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 138 273 0 23 Jan 2021
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 243 1,452 0 18 Mar 2020
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 223 620 0 03 Sep 2019