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FEVER: a large-scale dataset for Fact Extraction and VERification

FEVER: a large-scale dataset for Fact Extraction and VERification

14 March 2018
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
    HILM
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Papers citing "FEVER: a large-scale dataset for Fact Extraction and VERification"

50 / 368 papers shown
Title
Merging Generated and Retrieved Knowledge for Open-Domain QA
Merging Generated and Retrieved Knowledge for Open-Domain QA
Yunxiang Zhang
Muhammad Khalifa
Lajanugen Logeswaran
Moontae Lee
Honglak Lee
Lu Wang
RALM
32
38
0
22 Oct 2023
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in
  LLM-Generated Reference Letters
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters
Yixin Wan
George Pu
Jiao Sun
Aparna Garimella
Kai-Wei Chang
Nanyun Peng
44
163
0
13 Oct 2023
A New Benchmark and Reverse Validation Method for Passage-level
  Hallucination Detection
A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection
Shiping Yang
Renliang Sun
Xiao-Yi Wan
HILM
40
41
0
10 Oct 2023
Explainable Claim Verification via Knowledge-Grounded Reasoning with
  Large Language Models
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
Haoran Wang
Kai Shu
LRM
45
22
0
08 Oct 2023
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Ori Yoran
Tomer Wolfson
Ori Ram
Jonathan Berant
RALM
LRM
29
187
0
02 Oct 2023
FELM: Benchmarking Factuality Evaluation of Large Language Models
FELM: Benchmarking Factuality Evaluation of Large Language Models
Shiqi Chen
Yiran Zhao
Jinghan Zhang
Ethan Chern
Siyang Gao
Pengfei Liu
Junxian He
HILM
41
33
0
01 Oct 2023
LLM Guided Inductive Inference for Solving Compositional Problems
LLM Guided Inductive Inference for Solving Compositional Problems
Abhigya Sodani
Lauren Moos
Matthew Mirman
LRM
46
1
0
20 Sep 2023
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
Yury Zemlyanskiy
Michiel de Jong
Luke Vilnis
Santiago Ontañón
William W. Cohen
Sumit Sanghai
Joshua Ainslie
RALM
MQ
35
0
0
28 Aug 2023
ExpeL: LLM Agents Are Experiential Learners
ExpeL: LLM Agents Are Experiential Learners
Andrew Zhao
Daniel Huang
Quentin Xu
Matthieu Lin
Yong-Jin Liu
Gao Huang
LLMAG
27
196
0
20 Aug 2023
Teaching Smaller Language Models To Generalise To Unseen Compositional
  Questions
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions
Tim Hartill
N. Tan
Michael Witbrock
Patricia J. Riddle
ReLM
KELM
LRM
34
2
0
02 Aug 2023
Piecing Together Clues: A Benchmark for Evaluating the Detective Skills
  of Large Language Models
Piecing Together Clues: A Benchmark for Evaluating the Detective Skills of Large Language Models
Zhouhong Gu
Lin Zhang
Jiangjie Chen
Haoning Ye
Xiaoxuan Zhu
...
Jianchen Wang
Yikai Zhang
Wenhao Huang
Yanghua Xiao
Hongwei Feng
RALM
ELM
36
0
0
11 Jul 2023
Towards Open-Domain Topic Classification
Towards Open-Domain Topic Classification
Hantian Ding
Jinrui Yang
Yuqian Deng
Hongming Zhang
Dan Roth
BDL
VLM
OOD
41
9
0
29 Jun 2023
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in
  Natural Language Inference
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference
Animesh Nighojkar
Antonio Laverghetta
John Licato
36
4
0
16 Jun 2023
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to
  Pre-trained Language Models Memories
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories
Shizhe Diao
Tianyang Xu
Ruijia Xu
Jiawei Wang
Tong Zhang
MoE
AI4CE
13
36
0
08 Jun 2023
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and
  Zero-Shot Fact Verification with Pre-trained Language Models
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models
Fengzhu Zeng
Wei Gao
23
5
0
05 Jun 2023
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence
Gengyu Wang
Kate Harwood
Lawrence Chillrud
Amith Ananthram
Melanie Subbiah
Kathleen McKeown
HILM
21
22
0
29 May 2023
Plug-and-Play Document Modules for Pre-trained Models
Plug-and-Play Document Modules for Pre-trained Models
Chaojun Xiao
Zhengyan Zhang
Xu Han
Chi-Min Chan
Yankai Lin
Zhiyuan Liu
Xiangyang Li
Zhonghua Li
Bo Zhao
Maosong Sun
KELM
39
5
0
28 May 2023
Unsupervised Selective Rationalization with Noise Injection
Unsupervised Selective Rationalization with Noise Injection
Adam Storek
Melanie Subbiah
Kathleen McKeown
26
2
0
27 May 2023
AlignScore: Evaluating Factual Consistency with a Unified Alignment
  Function
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
Yuheng Zha
Yichi Yang
Ruichen Li
Zhiting Hu
HILM
26
182
0
26 May 2023
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long
  Form Text Generation
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min
Kalpesh Krishna
Xinxi Lyu
M. Lewis
Wen-tau Yih
Pang Wei Koh
Mohit Iyyer
Luke Zettlemoyer
Hannaneh Hajishirzi
HILM
ALM
86
611
0
23 May 2023
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale
  Supervision
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision
Wenting Zhao
Justin T. Chiu
Claire Cardie
Alexander M. Rush
LRM
19
4
0
23 May 2023
EASE: An Easily-Customized Annotation System Powered by Efficiency
  Enhancement Mechanisms
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms
Naihao Deng
Yikai Liu
Mingye Chen
Winston Wu
Siyang Liu
Yulong Chen
Yue Zhang
Rada Mihalcea
39
0
0
23 May 2023
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim
  Verification on Scientific Tables
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
Xinyuan Lu
Liangming Pan
Qian Liu
Preslav Nakov
Min-Yen Kan
LMTD
46
25
0
22 May 2023
Fact-Checking Complex Claims with Program-Guided Reasoning
Fact-Checking Complex Claims with Program-Guided Reasoning
Liangming Pan
Xiaobao Wu
Xinyuan Lu
A. Luu
William Yang Wang
Min-Yen Kan
Preslav Nakov
LRM
52
116
0
22 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
52
83
0
19 May 2023
BERM: Training the Balanced and Extractable Representation for Matching
  to Improve Generalization Ability of Dense Retrieval
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval
Shicheng Xu
Liang Pang
Huawei Shen
Xueqi Cheng
21
12
0
18 May 2023
Zero-shot Faithful Factual Error Correction
Zero-shot Faithful Factual Error Correction
Kung-Hsiang Huang
Hou Pong Chan
Heng Ji
KELM
HILM
32
30
0
13 May 2023
Active Retrieval Augmented Generation
Active Retrieval Augmented Generation
Zhengbao Jiang
Frank F. Xu
Luyu Gao
Zhiqing Sun
Qian Liu
Jane Dwivedi-Yu
Yiming Yang
Jamie Callan
Graham Neubig
RALM
30
256
0
11 May 2023
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in
  Wikipedia
WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia
Kenichiro Ando
Satoshi Sekine
Mamoru Komachi
32
2
0
10 May 2023
Black-box Prompt Tuning with Subspace Learning
Black-box Prompt Tuning with Subspace Learning
Yuanhang Zheng
Zhixing Tan
Peng Li
Yang Liu
VLM
66
9
0
04 May 2023
Out-of-distribution Evidence-aware Fake News Detection via Dual
  Adversarial Debiasing
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
Qiang Liu
Jun Wu
Shu Wu
Liang Wang
OODD
CML
27
11
0
25 Apr 2023
Low-Shot Learning for Fictional Claim Verification
Low-Shot Learning for Fictional Claim Verification
Viswanath Chadalapaka
Derek Nguyen
Joonwon Choi
Shaunak Joshi
Mohammad Rostami
18
1
0
05 Apr 2023
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval
QUADRo: Dataset and Models for QUestion-Answer Database Retrieval
S. Campese
Ivano Lauriola
Alessandro Moschitti
18
3
0
30 Mar 2023
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation
  Verification
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
Seungone Kim
Se June Joo
Yul Jang
Hyungjoo Chae
Jinyoung Yeo
LRM
22
12
0
07 Mar 2023
INO at Factify 2: Structure Coherence based Multi-Modal Fact
  Verification
INO at Factify 2: Structure Coherence based Multi-Modal Fact Verification
Yinuo Zhang
Zhulin Tao
Xi Wang
Tongyue Wang
27
5
0
02 Mar 2023
Learning to Initialize: Can Meta Learning Improve Cross-task
  Generalization in Prompt Tuning?
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin
Q. Li
Ruochen Zhao
Chenyu You
VLM
LRM
25
15
0
16 Feb 2023
Guide the Learner: Controlling Product of Experts Debiasing Method Based
  on Token Attribution Similarities
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities
Ali Modarressi
Hossein Amirkhani
Mohammad Taher Pilehvar
29
2
0
06 Feb 2023
TempEL: Linking Dynamically Evolving and Newly Emerging Entities
TempEL: Linking Dynamically Evolving and Newly Emerging Entities
Klim Zaporojets
Lucie-Aimée Kaffee
Johannes Deleu
Thomas Demeester
Chris Develder
Isabelle Augenstein
KELM
49
15
0
05 Feb 2023
Reading and Reasoning over Chart Images for Evidence-based Automated
  Fact-Checking
Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking
Mubashara Akhtar
O. Cocarascu
Elena Simperl
21
25
0
27 Jan 2023
The State of Human-centered NLP Technology for Fact-checking
The State of Human-centered NLP Technology for Fact-checking
Anubrata Das
Houjiang Liu
Venelin Kovatchev
Matthew Lease
HILM
34
61
0
08 Jan 2023
Examining Political Rhetoric with Epistemic Stance Detection
Examining Political Rhetoric with Epistemic Stance Detection
Ankita Gupta
Su Lin Blodgett
Justin H. Gross
Brendan O'Connor
22
0
0
29 Dec 2022
DISCO: Distilling Counterfactuals with Large Language Models
DISCO: Distilling Counterfactuals with Large Language Models
Zeming Chen
Qiyue Gao
Antoine Bosselut
Ashish Sabharwal
Kyle Richardson
44
25
0
20 Dec 2022
WeCheck: Strong Factual Consistency Checker via Weakly Supervised
  Learning
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning
Wenhao Wu
Wei Li
Xinyan Xiao
Jiachen Liu
Sujian Li
Yajuan Lv
HILM
31
4
0
20 Dec 2022
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su
Weijia Shi
Jungo Kasai
Yizhong Wang
Yushi Hu
Mari Ostendorf
Wen-tau Yih
Noah A. Smith
Luke Zettlemoyer
Tao Yu
27
282
0
19 Dec 2022
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case
  Study of COVID-19 Treatments
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments
Ethan Mendes
Yang Chen
Wei Xu
Alan Ritter
21
14
0
19 Dec 2022
Attributed Question Answering: Evaluation and Modeling for Attributed
  Large Language Models
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Bernd Bohnet
Vinh Q. Tran
Pat Verga
Roee Aharoni
D. Andor
...
Michael Collins
Dipanjan Das
Donald Metzler
Slav Petrov
Kellie Webster
43
60
0
15 Dec 2022
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language Understanding
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Pengjie Ren
Yukun Zhao
Dawei Yin
Zhaochun Ren
34
10
0
11 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
31
39
0
07 Dec 2022
Discovering Latent Knowledge in Language Models Without Supervision
Discovering Latent Knowledge in Language Models Without Supervision
Collin Burns
Haotian Ye
Dan Klein
Jacob Steinhardt
73
331
0
07 Dec 2022
Harnessing Knowledge and Reasoning for Human-Like Natural Language
  Generation: A Brief Review
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review
Jiangjie Chen
Yanghua Xiao
52
4
0
07 Dec 2022
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