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ferret: a Framework for Benchmarking Explainers on Transformers

ferret: a Framework for Benchmarking Explainers on Transformers

2 August 2022
Giuseppe Attanasio
Eliana Pastor
C. Bonaventura
Debora Nozza
ArXivPDFHTML

Papers citing "ferret: a Framework for Benchmarking Explainers on Transformers"

17 / 17 papers shown
Title
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods
Mahdi Dhaini
Ege Erdogan
Nils Feldhus
Gjergji Kasneci
41
0
0
02 May 2025
Long-context Non-factoid Question Answering in Indic Languages
Long-context Non-factoid Question Answering in Indic Languages
Ritwik Mishra
R. Shah
Ponnurangam Kumaraguru
26
0
0
18 Apr 2025
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models
Célia Wafa Ayad
Thomas Bonnier
Benjamin Bosch
Sonali Parbhoo
Jesse Read
FAtt
XAI
92
0
0
11 Feb 2025
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Qianli Wang
Nils Feldhus
Simon Ostermann
Luis Felipe Villa-Arenas
Sebastian Möller
Vera Schmitt
AAML
34
0
0
01 Jan 2025
Faithfulness and the Notion of Adversarial Sensitivity in NLP
  Explanations
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations
Supriya Manna
Niladri Sett
AAML
29
2
0
26 Sep 2024
Variationist: Exploring Multifaceted Variation and Bias in Written
  Language Data
Variationist: Exploring Multifaceted Variation and Bias in Written Language Data
Alan Ramponi
Camilla Casula
Stefano Menini
18
3
0
25 Jun 2024
LLM Attributor: Interactive Visual Attribution for LLM Generation
LLM Attributor: Interactive Visual Attribution for LLM Generation
Seongmin Lee
Zijie J. Wang
Aishwarya Chakravarthy
Alec Helbling
Sheng-Hsuan Peng
Mansi Phute
Duen Horng Chau
Minsuk Kahng
21
3
0
01 Apr 2024
The Role of Syntactic Span Preferences in Post-Hoc Explanation
  Disagreement
The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement
Jonathan Kamp
Lisa Beinborn
Antske Fokkens
30
1
0
28 Mar 2024
Clinical information extraction for Low-resource languages with Few-shot
  learning using Pre-trained language models and Prompting
Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting
Phillip Richter-Pechanski
Philipp Wiesenbach
Dominic M. Schwab
Christina Kiriakou
Nicolas Geis
Christoph Dieterich
Anette Frank
24
4
0
20 Mar 2024
idMotif: An Interactive Motif Identification in Protein Sequences
idMotif: An Interactive Motif Identification in Protein Sequences
Ji Hwan Park
Vikash Prasad
Sydney N Newsom
Fares Najar
R. Rajan
11
1
0
04 Feb 2024
ReAGent: A Model-agnostic Feature Attribution Method for Generative
  Language Models
ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models
Zhixue Zhao
Boxuan Shan
10
5
0
01 Feb 2024
Contrastive Learning-based Sentence Encoders Implicitly Weight
  Informative Words
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words
Hiroto Kurita
Goro Kobayashi
Sho Yokoi
Kentaro Inui
14
2
0
24 Oct 2023
Dynamic Top-k Estimation Consolidates Disagreement between Feature
  Attribution Methods
Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods
Jonathan Kamp
Lisa Beinborn
Antske Fokkens
FAtt
14
1
0
09 Oct 2023
Quantifying the Plausibility of Context Reliance in Neural Machine
  Translation
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Gabriele Sarti
Grzegorz Chrupala
Malvina Nissim
Arianna Bisazza
29
5
0
02 Oct 2023
Empowering Refugee Claimants and their Lawyers: Using Machine Learning
  to Examine Decision-Making in Refugee Law
Empowering Refugee Claimants and their Lawyers: Using Machine Learning to Examine Decision-Making in Refugee Law
Claire Barale
16
0
0
22 Aug 2023
Inseq: An Interpretability Toolkit for Sequence Generation Models
Inseq: An Interpretability Toolkit for Sequence Generation Models
Gabriele Sarti
Nils Feldhus
Ludwig Sickert
Oskar van der Wal
Malvina Nissim
Arianna Bisazza
25
64
0
27 Feb 2023
Robustness Gym: Unifying the NLP Evaluation Landscape
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Mohit Bansal
Christopher Ré
AAML
OffRL
OOD
146
136
0
13 Jan 2021
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