A study on the Interpretability of Neural Retrieval Models using
DeepSHAP

A study on the Interpretability of Neural Retrieval Models using DeepSHAP

15 July 2019

Zeon Trevor Fernando

Papers citing "A study on the Interpretability of Neural Retrieval Models using DeepSHAP"

15 / 15 papers shown

Title
Rethinking the Principle of Gradient Smooth Methods in Model Explanation Linjiang Zhou Chao Ma Zepeng Wang Xiaochuan Shi FAtt 26 0 0 10 Oct 2024
Axiomatization of Gradient Smoothing in Neural Networks Linjiang Zhou Xiaochuan Shi Chao Ma Zepeng Wang FAtt 34 0 0 29 Jun 2024
RankingSHAP -- Listwise Feature Attribution Explanations for Ranking Models Maria Heuss Maarten de Rijke Avishek Anand 175 1 0 24 Mar 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Mengnan Du XAI 40 8 0 09 Jan 2024
Query Understanding in the Age of Large Language Models Avishek Anand Venktesh V Abhijit Anand Vinay Setty LRM 51 4 0 28 Jun 2023
Explain like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation M. Llordes Debasis Ganguly S. Bhatia Chirag Agarwal FAtt 14 6 0 25 Apr 2023
ExaRanker: Explanation-Augmented Neural Ranker Fernando Ferraretto Thiago Laitz R. Lotufo Rodrigo Nogueira ELM LRM 36 7 0 25 Jan 2023
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank Tanya Chowdhury Razieh Rahimi James Allan FAtt 40 18 0 24 Dec 2022
Explainability of Text Processing and Retrieval Methods: A Critical Survey Sourav Saha Debapriyo Majumdar Mandar Mitra 18 5 0 14 Dec 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 28 398 0 20 Jan 2022
Diagnosing BERT with Retrieval Heuristics A. Câmara C. Hauff 37 33 0 12 Jan 2022
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop Zijian Zhang Koustav Rudra Avishek Anand KELM 14 13 0 12 Sep 2021
Helping results assessment by adding explainable elements to the deep relevance matching model Ioannis Chios Suzan Verberne 16 7 0 09 Jun 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning Mark Hamilton Scott M. Lundberg Lei Zhang Stephanie Fu William T. Freeman FAtt 30 10 0 28 Feb 2021
Valid Explanations for Learning to Rank Models Jaspreet Singh Zhenye Wang Megha Khosla Avishek Anand LRM FAtt 19 8 0 29 Apr 2020