Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for
Explaining Language Model Predictions

Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions

7 June 2024

Chuan-Sheng Foo

Bryan Kian Hsiang Low

Papers citing "Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions"

12 / 12 papers shown

Title
Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions Rui Qiao Zhaoxuan Wu Jingtan Wang Pang Wei Koh Bryan Kian Hsiang Low OOD 34 2 0 10 Mar 2025
Data Overvaluation Attack and Truthful Data Valuation Shuyuan Zheng Sudong Cai Chuan Xiao Yang Cao Jianbin Qin Masatoshi Yoshikawa Makoto Onizuka TDI AAML 60 0 0 01 Feb 2025
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning Zijian Zhou Xiaoqiang Lin Xinyi Xu Alok Prakash Daniela Rus K. H. Low 23 2 0 22 May 2024
LESS: Selecting Influential Data for Targeted Instruction Tuning Mengzhou Xia Sadhika Malladi Suchin Gururangan Sanjeev Arora Danqi Chen 73 180 0 06 Feb 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 23 6 0 26 Jan 2024
Sample based Explanations via Generalized Representers Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar FAtt 33 8 0 27 Oct 2023
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data Jingtan Wang Xinyang Lu Zitong Zhao Zhongxiang Dai Chuan-Sheng Foo See-Kiong Ng K. H. Low WaLM 50 15 0 01 Oct 2023
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values S. Schoch Ritwick Mishra Yangfeng Ji TDI 75 18 0 16 Jun 2023
A Kernel-Based View of Language Model Fine-Tuning Sadhika Malladi Alexander Wettig Dingli Yu Danqi Chen Sanjeev Arora VLM 66 60 0 11 Oct 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 44 94 0 30 May 2022
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 254 374 0 28 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020