Surfacing Biases in Large Language Models using Contrastive Input Decoding

12 May 2023

Papers citing "Surfacing Biases in Large Language Models using Contrastive Input Decoding"

9 / 9 papers shown

Title
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework Yifan Wang Vera Demberg 24 0 0 24 Oct 2024
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment Xin Xiao Bohong Wu Jiacong Wang Chunyuan Li Xun Zhou Haoyuan Guo VLM 34 7 0 28 May 2024
Alleviating Hallucinations of Large Language Models through Induced Hallucinations Yue Zhang Leyang Cui Wei Bi Shuming Shi HILM 34 49 0 25 Dec 2023
Speculative Contrastive Decoding Hongyi Yuan Keming Lu Fei Huang Zheng Yuan Chang Zhou 33 5 0 15 Nov 2023
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions Taehyeon Kim Joonkee Kim Gihun Lee Se-Young Yun 22 11 0 01 Nov 2023
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning Huiming Wang Zhaodonghui Li Liying Cheng De Wen Soh Lidong Bing 24 2 0 17 Oct 2023
Are Emily and Greg Still More Employable than Lakisha and Jamal? Investigating Algorithmic Hiring Bias in the Era of ChatGPT A. Veldanda Fabian Grob Shailja Thakur Hammond Pearce Benjamin Tan Ramesh Karri Siddharth Garg 24 16 0 08 Oct 2023
Contrastive Decoding Improves Reasoning in Large Language Models Sean O'Brien Mike Lewis SyDa LRM ReLM 13 31 0 17 Sep 2023
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 257 374 0 28 Feb 2021