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Faithfulness Tests for Natural Language Explanations

Faithfulness Tests for Natural Language Explanations

29 May 2023
Pepa Atanasova
Oana-Maria Camburu
Christina Lioma
Thomas Lukasiewicz
J. Simonsen
Isabelle Augenstein
    FAtt
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Papers citing "Faithfulness Tests for Natural Language Explanations"

11 / 11 papers shown
Title
Support Evaluation for the TREC 2024 RAG Track: Comparing Human versus LLM Judges
Support Evaluation for the TREC 2024 RAG Track: Comparing Human versus LLM Judges
Nandan Thakur
Ronak Pradeep
Shivani Upadhyay
Daniel Fernando Campos
Nick Craswell
Jimmy Lin
ELM
38
0
0
21 Apr 2025
MIB: A Mechanistic Interpretability Benchmark
MIB: A Mechanistic Interpretability Benchmark
Aaron Mueller
Atticus Geiger
Sarah Wiegreffe
Dana Arad
Iván Arcuschin
...
Alessandro Stolfo
Martin Tutek
Amir Zur
David Bau
Yonatan Belinkov
43
1
0
17 Apr 2025
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful
Iván Arcuschin
Jett Janiak
Robert Krzyzanowski
Senthooran Rajamanoharan
Neel Nanda
Arthur Conmy
LRM
ReLM
63
6
0
11 Mar 2025
TabVer: Tabular Fact Verification with Natural Logic
TabVer: Tabular Fact Verification with Natural Logic
Rami Aly
Andreas Vlachos
LMTD
28
0
0
02 Nov 2024
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
Yifei Ming
Senthil Purushwalkam
Shrey Pandit
Zixuan Ke
Xuan-Phi Nguyen
Caiming Xiong
Shafiq R. Joty
HILM
112
16
0
30 Sep 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
Sepehr Kamahi
Yadollah Yaghoobzadeh
53
0
0
21 Aug 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach
Adam Wojciechowski
Mateusz Lango
Ondrej Dusek
FAtt
46
0
0
30 Jul 2024
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?
Letitia Parcalabescu
Anette Frank
MLLM
CoGe
VLM
84
3
0
29 Apr 2024
Evaluating the Faithfulness of Importance Measures in NLP by Recursively
  Masking Allegedly Important Tokens and Retraining
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
Andreas Madsen
Nicholas Meade
Vaibhav Adlakha
Siva Reddy
103
35
0
15 Oct 2021
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
279
170
0
24 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
257
620
0
04 Dec 2018
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