Generating Fact Checking Explanations

13 April 2020

Papers citing "Generating Fact Checking Explanations"

50 / 112 papers shown

Title
HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution Ehsan Kamalloo A. Jafari Xinyu Crystina Zhang Nandan Thakur Jimmy J. Lin 32 42 0 31 Jul 2023
Neural models for Factual Inconsistency Classification with Explanations Tathagata Raha Mukund Choudhary Abhinav Menon Harshit Gupta KV Aditya Srivatsa Manish Gupta Vasudeva Varma 27 3 0 15 Jun 2023
Faithfulness Tests for Natural Language Explanations Pepa Atanasova Oana-Maria Camburu Christina Lioma Thomas Lukasiewicz J. Simonsen Isabelle Augenstein FAtt 35 59 0 29 May 2023
Multimodal Automated Fact-Checking: A Survey Mubashara Akhtar M. Schlichtkrull Zhijiang Guo O. Cocarascu Elena Simperl Andreas Vlachos 39 32 0 22 May 2023
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
Complex Claim Verification with Evidence Retrieved in the Wild Jifan Chen Grace Kim Aniruddh Sriram Greg Durrett Eunsol Choi HILM 35 70 0 19 May 2023
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification Jiasheng Si Yingjie Zhu Deyu Zhou AAML 52 3 0 16 May 2023
FactKG: Fact Verification via Reasoning on Knowledge Graphs Jiho Kim Sungjin Park Yeonsu Kwon Yohan Jo James Thorne E. Choi 16 54 0 11 May 2023
ExClaim: Explainable Neural Claim Verification Using Rationalization Sai Gurrapu Lifu Huang Feras A. Batarseh AAML 34 8 0 21 Jan 2023
Rationalization for Explainable NLP: A Survey Sai Gurrapu Ajay Kulkarni Lifu Huang Ismini Lourentzou Laura J. Freeman Feras A. Batarseh 36 31 0 21 Jan 2023
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
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning Jiasheng Si Yingjie Zhu Deyu Zhou 37 12 0 02 Dec 2022
Multiverse: Multilingual Evidence for Fake News Detection Daryna Dementieva Mikhail Kuimov Alexander Panchenko 36 4 0 25 Nov 2022
Using Persuasive Writing Strategies to Explain and Detect Health Misinformation Danial Kamali Joseph Romain Huiyi Liu Wei Peng Jingbo Meng Parisa Kordjamshidi 26 3 0 11 Nov 2022
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection Zhiwei Yang Jing Ma Hechang Chen Hongzhan Lin Ziyang Luo Yi-Ju Chang 27 11 0 29 Sep 2022
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems Sahar Abdelnabi Mario Fritz AAML 208 5 0 07 Sep 2022
Ask to Know More: Generating Counterfactual Explanations for Fake Claims Shih-Chieh Dai Yi-Li Hsu Aiping Xiong Lun-Wei Ku OffRL 25 22 0 10 Jun 2022
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models Barry Menglong Yao Aditya Shah Lichao Sun Jin-Hee Cho Lifu Huang MLLM LRM 46 79 0 25 May 2022
Generating Literal and Implied Subquestions to Fact-check Complex Claims Jifan Chen Aniruddh Sriram Eunsol Choi Greg Durrett HILM 36 60 0 14 May 2022
User Experience Design for Automatic Credibility Assessment of News Content About COVID-19 K. Schulz Jens Rauenbusch Jan Fillies Lisa Rutenburg Dimitrios Karvelas Georg Rehm 30 2 0 29 Apr 2022
ProtoTEx: Explaining Model Decisions with Prototype Tensors Anubrata Das Chitrank Gupta Venelin Kovatchev Matthew Lease Junjie Li 36 27 0 11 Apr 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
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation Yuyan Chen Yanghua Xiao Bang Liu 14 16 0 13 Jan 2022
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing Shailza Jolly Pepa Atanasova Isabelle Augenstein 38 13 0 13 Dec 2021
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking Archita Pathak Rohini Srihari HILM 28 1 0 02 Nov 2021
Explainable Fact-checking through Question Answering Jing Yang D. Vega-Oliveros Taís Seibt Anderson de Rezende Rocha HILM 27 14 0 11 Oct 2021
Scalable Fact-checking with Human-in-the-Loop Jing Yang D. Vega-Oliveros Taís Seibt Anderson de Rezende Rocha 22 10 0 22 Sep 2021
The Case for Claim Difficulty Assessment in Automatic Fact Checking Prakhar Singh Anubrata Das Junjie Li Matthew Lease 32 9 0 20 Sep 2021
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings Hendrik Schuff Hsiu-yu Yang Heike Adel Ngoc Thang Vu ELM ReLM LRM 49 13 0 16 Sep 2021
Diagnostics-Guided Explanation Generation Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein LRM FAtt 40 6 0 08 Sep 2021
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study Xuhong Li Haoyi Xiong Siyu Huang Shilei Ji Dejing Dou 30 10 0 02 Sep 2021
A Survey on Automated Fact-Checking Zhijiang Guo M. Schlichtkrull Andreas Vlachos 29 460 0 26 Aug 2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification Amrith Krishna Sebastian Riedel Andreas Vlachos 26 62 0 25 Aug 2021
Leveraging Commonsense Knowledge on Classifying False News and Determining Checkworthiness of Claims Ipek Baris Schlicht Erhan Sezerer Selma Tekir Oul Han Zeyd Boukhers 24 0 0 08 Aug 2021
Automatic Claim Review for Climate Science via Explanation Generation Shraey Bhatia Jey Han Lau Timothy Baldwin 22 5 0 30 Jul 2021
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension Anna Rogers Matt Gardner Isabelle Augenstein 27 163 0 27 Jul 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 27 35 0 25 Jun 2021
Generating Hypothetical Events for Abductive Inference Debjit Paul Anette Frank ReLM LRM 14 7 0 07 Jun 2021
Is Sparse Attention more Interpretable? Clara Meister Stefan Lazov Isabelle Augenstein Ryan Cotterell MILM 28 44 0 02 Jun 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser Oana-Maria Camburu Leonard Salewski Cornelius Emde Virginie Do Zeynep Akata Thomas Lukasiewicz VLM 26 100 0 08 May 2021
Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News Ashkan Kazemi Zehua Li Verónica Pérez-Rosas Rada Mihalcea 32 14 0 27 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization Tanya Goyal Greg Durrett HILM 21 153 0 09 Apr 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 318 0 19 Mar 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence Tal Schuster Adam Fisch Regina Barzilay 39 226 0 15 Mar 2021
A Survey on Multimodal Disinformation Detection Firoj Alam S. Cresci Tanmoy Chakraborty Fabrizio Silvestri Dimiter Dimitrov Giovanni Da San Martino Shaden Shaar Hamed Firooz Preslav Nakov 20 98 0 13 Mar 2021
A Survey on Stance Detection for Mis- and Disinformation Identification Momchil Hardalov Arnav Arora Preslav Nakov Isabelle Augenstein 111 133 0 27 Feb 2021
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning Shivangi Aneja C. Bregler Matthias Nießner SSL 60 48 0 15 Jan 2021
Evidence-based Factual Error Correction James Thorne Andreas Vlachos KELM OffRL 24 54 0 31 Dec 2020
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA Ana Valeria González Gagan Bansal Angela Fan Robin Jia Yashar Mehdad Srini Iyer AAML 37 24 0 30 Dec 2020
Explainable Automated Fact-Checking: A Survey Neema Kotonya Francesca Toni 8 113 0 07 Nov 2020