On the Interaction of Belief Bias and Explanations
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[1] V. Goel,et al. Negative emotions can attenuate the influence of beliefs on logical reasoning , 2011, Cognition & emotion.
[2] J. Tukey. Comparing individual means in the analysis of variance. , 1949, Biometrics.
[3] Byron C. Wallace,et al. ERASER: A Benchmark to Evaluate Rationalized NLP Models , 2020, ACL.
[4] Jonathan Evans,et al. Necessity, Possibility and Belief: A Study of Syllogistic Reasoning , 2001, The Quarterly journal of experimental psychology. A, Human experimental psychology.
[5] Carlos Eduardo Scheidegger,et al. Assessing the Local Interpretability of Machine Learning Models , 2019, ArXiv.
[6] Jonathan Evans,et al. Rapid responding increases belief bias: Evidence for the dual-process theory of reasoning , 2005 .
[7] Ankur Taly,et al. Axiomatic Attribution for Deep Networks , 2017, ICML.
[8] Jonathan Evans,et al. The source of belief bias effects in syllogistic reasoning , 1992, Cognition.
[9] K. Jellinger,et al. In two minds: Dual processes and beyond. , 2009 .
[10] K. Stanovich,et al. On the relative independence of thinking biases and cognitive ability. , 2008, Journal of personality and social psychology.
[11] A. Tversky,et al. Preference and belief: Ambiguity and competence in choice under uncertainty , 1991 .
[12] Anders Sogaard,et al. Type B Reflexivization as an Unambiguous Testbed for Multilingual Multi-Task Gender Bias , 2020, EMNLP.
[13] R. Thomas McCoy,et al. Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference , 2019, ACL.
[14] Jakob Grue Simonsen,et al. A Diagnostic Study of Explainability Techniques for Text Classification , 2020, EMNLP.
[15] Jonathan Evans. Dual-processing accounts of reasoning, judgment, and social cognition. , 2008, Annual review of psychology.
[16] P. Pollard,et al. On the conflict between logic and belief in syllogistic reasoning , 1983, Memory & cognition.
[17] Pat Croskerry,et al. A universal model of diagnostic reasoning. , 2009, Academic medicine : journal of the Association of American Medical Colleges.
[18] Mark Urban-Lurain,et al. Quantifying cognitive bias in educational researchers , 2020 .
[19] Daniel G. Goldstein,et al. Manipulating and Measuring Model Interpretability , 2018, CHI.
[20] Eunsol Choi,et al. QED: A Framework and Dataset for Explanations in Question Answering , 2020, Transactions of the Association for Computational Linguistics.
[21] Marko Bohanec,et al. Perturbation-Based Explanations of Prediction Models , 2018, Human and Machine Learning.
[22] D. Kahneman. A perspective on judgment and choice: mapping bounded rationality. , 2003, The American psychologist.
[23] Yi Chern Tan,et al. Assessing Social and Intersectional Biases in Contextualized Word Representations , 2019, NeurIPS.
[24] A. Acquisti,et al. Reputation as a sufficient condition for data quality on Amazon Mechanical Turk , 2013, Behavior Research Methods.
[25] Andrew Zisserman,et al. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps , 2013, ICLR.
[26] Been Kim,et al. Towards A Rigorous Science of Interpretable Machine Learning , 2017, 1702.08608.
[27] Francesca Toni,et al. Human-grounded Evaluations of Explanation Methods for Text Classification , 2019, EMNLP.
[28] Alan W Black,et al. Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings , 2019, NAACL.
[29] Eric Horvitz,et al. Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff , 2019, AAAI.
[30] Qun Liu,et al. TinyBERT: Distilling BERT for Natural Language Understanding , 2020, EMNLP.
[31] A. Tversky,et al. Judgment under Uncertainty: Heuristics and Biases , 1974, Science.
[32] Richard Anderson,et al. Belief bias in the perception of sample size adequacy , 2014, CogSci.
[33] Paul N. Bennett,et al. Guidelines for Human-AI Interaction , 2019, CHI.
[34] Rachel Rudinger,et al. Gender Bias in Coreference Resolution , 2018, NAACL.
[35] Chandler May,et al. On Measuring Social Biases in Sentence Encoders , 2019, NAACL.
[36] S. Handley,et al. The parallel processing model of belief bias: review and extensions , 2017 .
[37] Sameer Singh,et al. Universal Adversarial Triggers for Attacking and Analyzing NLP , 2019, EMNLP.
[38] Arvind Narayanan,et al. Semantics derived automatically from language corpora contain human-like biases , 2016, Science.
[39] H. Markovits,et al. The belief-bias effect in the production and evaluation of logical conclusions , 1989, Memory & cognition.
[40] A. Furnham,et al. A literature review of the anchoring effect , 2011 .
[41] Qian Yang,et al. Designing Theory-Driven User-Centric Explainable AI , 2019, CHI.
[42] Alex Endert,et al. Warning, Bias May Occur: A Proposed Approach to Detecting Cognitive Bias in Interactive Visual Analytics , 2017, 2017 IEEE Conference on Visual Analytics Science and Technology (VAST).
[43] Percy Liang,et al. Adversarial Examples for Evaluating Reading Comprehension Systems , 2017, EMNLP.
[44] Dong Nguyen,et al. Comparing Automatic and Human Evaluation of Local Explanations for Text Classification , 2018, NAACL.
[45] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[46] Mohit Bansal,et al. Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? , 2020, ACL.
[47] Carlos Guestrin,et al. Model-Agnostic Interpretability of Machine Learning , 2016, ArXiv.
[48] K C Klauer,et al. On belief bias in syllogistic reasoning. , 2000, Psychological review.
[49] M. Franchella,et al. How to Get Rid of the Belief Bias: Boosting Analytical Thinking via Pragmatics , 2019, Europe's journal of psychology.
[50] P. Klaczynski,et al. Goal-oriented critical reasoning and individual differences in critical reasoning biases. , 1997 .
[51] Percy Liang,et al. Know What You Don’t Know: Unanswerable Questions for SQuAD , 2018, ACL.
[52] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[53] Julie Linda Barston. AN INVESTIGATION INTO BELIEF BIASES IN REASONING , 1986 .
[54] Chris Russell,et al. Explaining Explanations in AI , 2018, FAT.