{"list":"other","total":61,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1610.02391","title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization","created":"2016-10-07","cited_by_count":6733},{"id":"1705.07874","title":"A Unified Approach to Interpreting Model Predictions","created":"2017-05-22","cited_by_count":6555},{"id":"1603.02754","title":"XGBoost: A Scalable Tree Boosting System","created":"2016-03-09","cited_by_count":5166},{"id":"1602.04938","title":"\"Why Should I Trust You?\": Explaining the Predictions of Any Classifier","created":"2016-02-16","cited_by_count":5070},{"id":"1412.3555","title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","created":"2014-12-11","cited_by_count":2367},{"id":"1910.10045","title":"Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI","created":"2019-10-22","cited_by_count":1552},{"id":"1706.07269","title":"Explanation in Artificial Intelligence: Insights from the Social Sciences","created":"2017-06-22","cited_by_count":1206},{"id":"1802.01933","title":"A Survey Of Methods For Explaining Black Box Models","created":"2018-02-06","cited_by_count":973},{"id":"2303.17564","title":"BloombergGPT: A Large Language Model for Finance","created":"2023-03-30","cited_by_count":939},{"id":"1606.03490","title":"The Mythos of Model Interpretability","created":"2016-06-10","cited_by_count":721},{"id":"2004.03685","title":"Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?","created":"2020-04-07","cited_by_count":599},{"id":"1902.04885","title":"Federated Machine Learning: Concept and Applications","created":"2019-02-13","cited_by_count":412},{"id":"1906.03731","title":"Is Attention Interpretable?","created":"2019-06-09","cited_by_count":389},{"id":"2008.11687","title":"What is being transferred in transfer learning?","created":"2020-08-26","cited_by_count":368},{"id":"1606.08813","title":"European Union regulations on algorithmic decision-making and a \"right to explanation\"","created":"2016-06-28","cited_by_count":344},{"id":"2004.13912","title":"Neural Additive Models: Interpretable Machine Learning with Neural Nets","created":"2020-04-29","cited_by_count":319},{"id":"1802.03888","title":"Consistent Individualized Feature Attribution for Tree Ensembles","created":"2018-02-12","cited_by_count":285},{"id":"1812.04608","title":"Metrics for Explainable AI: Challenges and Prospects","created":"2018-12-11","cited_by_count":260},{"id":"2306.06031","title":"FinGPT: Open-Source Financial Large Language Models","created":"2023-06-09","cited_by_count":253},{"id":"1909.09223","title":"InterpretML: A Unified Framework for Machine Learning Interpretability","created":"2019-09-19","cited_by_count":246},{"id":"1612.08468","title":"Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models","created":"2016-12-27","cited_by_count":213},{"id":"1907.04135","title":"The What-If Tool: Interactive Probing of Machine Learning Models","created":"2019-07-09","cited_by_count":207},{"id":"2010.00711","title":"A Survey of the State of Explainable AI for Natural Language Processing","created":"2020-10-01","cited_by_count":206},{"id":"2304.07619","title":"Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models","created":"2023-04-15","cited_by_count":129},{"id":"2308.12488","title":"GPTEval: A Survey on Assessments of ChatGPT and GPT-4","created":"2023-08-24","cited_by_count":73},{"id":"2104.00950","title":"Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey","created":"2021-04-02","cited_by_count":72},{"id":"1902.01876","title":"Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI","created":"2019-02-05","cited_by_count":63},{"id":"2304.05351","title":"The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges","created":"2023-04-10","cited_by_count":59},{"id":"2112.01406","title":"Active Learning for Domain Adaptation: An Energy-Based Approach","created":"2021-12-02","cited_by_count":53},{"id":"2202.05656","title":"Evaluation of post-hoc interpretability methods in time-series classification","created":"2022-02-11","cited_by_count":53},{"id":"2308.06966","title":"EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce","created":"2023-08-14","cited_by_count":49},{"id":"1806.07552","title":"Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems","created":"2018-06-20","cited_by_count":48},{"id":"1811.05245","title":"Interpretable Credit Application Predictions With Counterfactual Explanations","created":"2018-11-13","cited_by_count":43},{"id":"2010.12512","title":"Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification","created":"2020-10-23","cited_by_count":40},{"id":"1911.06194","title":"Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models","created":"2019-11-08","cited_by_count":26},{"id":"2106.00461","title":"To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods","created":"2021-06-01","cited_by_count":26},{"id":"2111.01743","title":"Designing Inherently Interpretable Machine Learning Models","created":"2021-11-02","cited_by_count":23},{"id":"2209.07494","title":"Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings","created":"2022-09-15","cited_by_count":23},{"id":"2103.00949","title":"Explainable AI in Credit Risk Management","created":"2021-03-01","cited_by_count":19},{"id":"2012.03749","title":"Explainable AI for Interpretable Credit Scoring","created":"2020-12-03","cited_by_count":18},{"id":"1902.04994","title":"Explainable Text-Driven Neural Network for Stock Prediction","created":"2019-02-13","cited_by_count":13},{"id":"2209.10070","title":"Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring","created":"2022-09-21","cited_by_count":12},{"id":"2007.12358","title":"Machine Learning Explanations to Prevent Overtrust in Fake News Detection","created":"2020-07-24","cited_by_count":11},{"id":"1806.07129","title":"Instance-Level Explanations for Fraud Detection: A Case Study","created":"2018-06-19","cited_by_count":10},{"id":"1905.11474","title":"Infusing domain knowledge in AI-based \"black box\" models for better explainability with application in bankruptcy prediction","created":"2019-05-27","cited_by_count":6},{"id":"2202.09064","title":"Can Interpretable Reinforcement Learning Manage Prosperity Your Way?","created":"2022-02-18","cited_by_count":6},{"id":"2211.10595","title":"Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection","created":"2022-11-19","cited_by_count":6},{"id":"2110.00086","title":"On the Trustworthiness of Tree Ensemble Explainability Methods","created":"2021-09-30","cited_by_count":5},{"id":"2111.02244","title":"Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities","created":"2021-11-03","cited_by_count":5},{"id":"2206.02419","title":"Towards Responsible AI for Financial Transactions","created":"2022-06-06","cited_by_count":5},{"id":"2108.05390","title":"Seven challenges for harmonizing explainability requirements","created":"2021-08-11","cited_by_count":4},{"id":"1906.10244","title":"Generating User-friendly Explanations for Loan Denials using GANs","created":"2019-06-24","cited_by_count":3},{"id":"2104.06735","title":"Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models","created":"2021-04-14","cited_by_count":3},{"id":"2109.11871","title":"Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation","created":"2021-09-24","cited_by_count":3},{"id":"1709.01574","title":"Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction","created":"2017-09-05","cited_by_count":2},{"id":"2001.02767","title":"Explainable Deep Convolutional Candlestick Learner","created":"2020-01-08","cited_by_count":2},{"id":"2208.08790","title":"Explainable Reinforcement Learning on Financial Stock Trading using SHAP","created":"2022-08-18","cited_by_count":2},{"id":"2209.09157","title":"RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations","created":"2022-09-19","cited_by_count":2},{"id":"2108.13914","title":"Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default","created":"2021-08-31","cited_by_count":1},{"id":"2303.02563","title":"FinXABSA: Explainable Finance through Aspect-Based Sentiment Analysis","created":"2023-03-05","cited_by_count":1}],"next_cursor":null}