Confronting LLMs with Traditional ML: Rethinking the Fairness of Large
Language Models in Tabular Classifications

Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications

23 October 2023

Yanchen Liu

Jiaqi Ma

Himabindu Lakkaraju

Papers citing "Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications"

9 / 9 papers shown

Title
Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova Chia-Jung Lee Nil-Jana Akpinar Riccardo Fogliato Martín Bertrán Michael Kearns James Zou LMTD 63 0 0 05 Dec 2024
SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation M. Khodak Lester W. Mackey Alexandra Chouldechova Miroslav Dudik 29 0 0 14 Nov 2024
Fair In-Context Learning via Latent Concept Variables Karuna Bhaila Minh-Hao Van Kennedy Edemacu Chen Zhao Feng Chen Xintao Wu 24 0 0 04 Nov 2024
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models Sree Harsha Tanneru Dan Ley Chirag Agarwal Himabindu Lakkaraju LRM 26 4 0 15 Jun 2024
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification Garima Chhikara Anurag Sharma Kripabandhu Ghosh Abhijnan Chakraborty 34 13 0 28 Feb 2024
The Typing Cure: Experiences with Large Language Model Chatbots for Mental Health Support Inhwa Song Sachin R. Pendse Neha Kumar Munmun De Choudhury AI4MH 33 15 0 25 Jan 2024
DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules Yanchen Liu William B. Held Diyi Yang 37 10 0 22 May 2023
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
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021