Quantifying Prediction Consistency Under Model Multiplicity in Tabular
LLMs

Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs

4 July 2024

Pasan Dissanayake

Saumitra Mishra

Freddy Lecue

Sanghamitra Dutta

Papers citing "Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs"

9 / 9 papers shown

Title
An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability David Herrera-Poyatos Carlos Peláez-González Cristina Zuheros Andrés Herrera-Poyatos Virilo Tejedor F. Herrera Rosana Montes 23 1 0 06 Apr 2025
Automated Consistency Analysis of LLMs Aditya Patwardhan Vivek Vaidya Ashish Kundu 50 0 0 10 Feb 2025
The Curious Case of Arbitrariness in Machine Learning Prakhar Ganesh Afaf Taik G. Farnadi 54 2 0 28 Jan 2025
Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science Yazheng Yang Yuqi Wang Sankalok Sen Lei Li Qi Liu LMTD 41 9 0 29 Mar 2024
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models Xumeng Wen Han Zhang Shun Zheng Wei Xu Jiang Bian LMTD ALM 62 20 0 11 Oct 2023
Exploring the Whole Rashomon Set of Sparse Decision Trees Rui Xin Chudi Zhong Zhi Chen Takuya Takagi Margo Seltzer Cynthia Rudin 25 53 0 16 Sep 2022
Can Foundation Models Wrangle Your Data? A. Narayan Ines Chami Laurel J. Orr Simran Arora Christopher Ré LMTD AI4CE 166 212 0 20 May 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
Consistent Counterfactuals for Deep Models Emily Black Zifan Wang Matt Fredrikson Anupam Datta BDL OffRL OOD 36 43 0 06 Oct 2021