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In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law: domains characterized by their reliance on professional expertise, challenging data acquisition, high-stakes, and stringent regulatory compliance.
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Domain adaption of named entity recognition to support credit risk assessment
Julio Cesar Salinas Alvarado, Karin Verspoor, and Timothy Baldwin · 2015
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The integrated curriculum in medical education: Amee guide no. 96
David G Brauer and Kristi J Ferguson · 2015
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Coliee-2015: evaluation of legal question answering
Mi-Young Kim, Randy Goebel, and S Ken · 2015
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Detection of fraudulent financial reports with machine learning techniques
Prasad Seemakurthi, Shuhao Zhang, and Yibing Qi · 2015
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Financial fraud detection using vocal, linguistic and financial cues
Chandra S Throckmorton, William J Mayew, Mohan Venkatachalam, and Leslie M Collins · 2015
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An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
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Show, attend and tell: Neural image caption generation with visual attention
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A controlled natural language for tax fraud detection
Aaron Calafato, Christian Colombo, and Gordon J Pace · 2016
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Machine learning approaches in medical image analysis: From detection to diagnosis, 2016
Marleen De Bruijne · 2016
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Preparing a collection of radiology examinations for distribution and retrieval
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Natural language processing in accounting, auditing and finance: A synthesis of the literature with a roadmap for future research
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Do sentiments matter in fraud detection? estimating semantic orientation of annual reports
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A survey of the applications of text mining in financial domain
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Casesummarizer: a system for automated summarization of legal texts
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" why should i trust you?" explaining the predictions of any classifier
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Passing a usa national bar exam: a first corpus for experimentation
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Question analysis for vietnamese legal question answering
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Enhancement of fraud detection for narratives in annual reports
Yuh-Jen Chen, Chun-Han Wu, Yuh-Min Chen, Hsin-Ying Li, and Huei-Kuen Chen · 2017
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Pubmed 200k rct: a dataset for sequential sentence classification in medical abstracts
Franck Dernoncourt and Ji Young Lee · 2017
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2017
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Understanding black-box predictions via influence functions
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A unified approach to interpreting model predictions
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Classifying sentential modality in legal language: a use case in financial regulations, acts and directives
James O’ Neill, Paul Buitelaar, Cecile Robin, and Leona O’ Brien · 2017
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Artificial intelligence and legal ethics: Whether ai lawyers can make ethical decisions
Catherine Nunez · 2017
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Credit card fraud detection using deep learning
Yamini Pandey · 2017
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Biosses: a semantic sentence similarity estimation system for the biomedical domain
Gizem Soğancıoğlu, Hakime Öztürk, and Arzucan Özgür · 2017
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Yang Zou, Arto Kiviniemi, and Stephen W Jones · 2017
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Peeking inside the black-box: a survey on explainable artificial intelligence (xai)
Amina Adadi and Mohammed Berrada · 2018
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Artificial intelligence for conversational robo-advisor
Min-Yuh Day, Jian-Ting Lin, and Yuan-Chih Chen · 2018
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Explainable artificial intelligence: A survey
Filip Karlo Došilović, Mario Brčić, and Nikica Hlupić · 2018
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Fintech risk management: A research challenge for artificial intelligence in finance
Paolo Giudici · 2018
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Subword regularization: Improving neural network translation models with multiple subword candidates
Taku Kudo · 2018
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Multimodal conduct in the law: Language, gesture and materiality in legal interaction , volume 32
Gregory Matoesian and Kristin Enola Gilbert · 2018
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Deep learning for healthcare: review, opportunities and challenges
Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, and Joel T Dudley · 2018
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Benjamin E. Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, and Byron C. Wallace · 2018
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Ai-based chatbot service for financial industry
Takuma Okuda and Sanae Shoda · 2018
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emrqa: A large corpus for question answering on electronic medical records
Anusri Pampari, Preethi Raghavan, Jennifer Liang, and Jian Peng · 2018
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Know what you don’t know: Unanswerable questions for squad
Pranav Rajpurkar, Robin Jia, and Percy Liang · 2018
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Lessons from natural language inference in the clinical domain
Alexey Romanov and Chaitanya Shivade · 2018
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Legal reasoning and political conflict
Cass R Sunstein · 2018
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Hybrid deep sequential modeling for social text-driven stock prediction
Huizhe Wu, Wei Zhang, Weiwei Shen, and Jun Wang · 2018
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Cail2018: A large-scale legal dataset for judgment prediction
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Natural language based financial forecasting: a survey
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Stock movement prediction from tweets and historical prices
Yumo Xu and Shay B. Cohen · 2018
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The application of artificial intelligence in financial compliance management
Raghad Al-Shabandar, Gaye Lightbody, Fiona Browne, Jun Liu, Haiying Wang, and Huiru Zheng · 2019
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Machine learning and AI for risk management
Saqib Aziz and Michael Dowling · 2019
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Deep learning in law: early adaptation and legal word embeddings trained on large corpora
Ilias Chalkidis and Dimitrios Kampas · 2019
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Neural legal judgment prediction in english
Ilias Chalkidis, Ion Androutsopoulos, and Nikolaos Aletras · 2019
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A review of natural language processing in medical education
Michael Chary, Saumil Parikh, Alex F Manini, Edward W Boyer, and Michael Radeos · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Cjrc: A reliable human-annotated benchmark dataset for chinese judicial reading comprehension
Xingyi Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, Dayong Wu, Shijin Wang, Ting Liu, Tianxiang Huo, Zhen Hu, et al · 2019
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Addressing data bias problems for chest x-ray image report generation
Philipp Harzig, Yan-Ying Chen, Francine Chen, and Rainer Lienhart · 2019
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ClinicalBERT: Modeling clinical notes and predicting hospital readmission
Kexin Huang, Jaan Altosaar, and Rajesh Ranganath · 2019
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Chexpert: A large chest radiograph dataset with uncertainty labels and expert comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, et al · 2019
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Pubmedqa: A dataset for biomedical research question answering
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, and Xinghua Lu · 2019
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The global landscape of ai ethics guidelines
Anna Jobin, Marcello Ienca, and Effy Vayena · 2019
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Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
Alistair EW Johnson, Tom J Pollard, Seth J Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng · 2019
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Coliee-2018: Evaluation of the competition on legal information extraction and entailment
Yoshinobu Kano, Mi-Young Kim, Masaharu Yoshioka, Yao Lu, Juliano Rabelo, Naoki Kiyota, Randy Goebel, and Ken Satoh · 2019
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Understanding artificial intelligence ethics and safety
David Leslie · 2019
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Claudette: an automated detector of potentially unfair clauses in online terms of service
Marco Lippi, Przemysław Pałka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Giovanni Sartor, and Paolo Torroni · 2019
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Medmentions: A large biomedical corpus annotated with umls concepts
Sunil Mohan and Donghui Li · 2019
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Yifan Peng, Shankai Yan, and Zhiyong Lu · 2019
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Machine learning for quantitative finance applications: A survey
Francesco Rundo, Francesca Trenta, Agatino Luigi Di Stallo, and Sebastiano Battiato · 2019
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Sticking to the facts: Confident decoding for faithful data-to-text generation
Ran Tian, Shashi Narayan, Thibault Sellam, and Ankur P Parikh · 2019
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HEAD-QA: A healthcare dataset for complex reasoning
David Vilares and Carlos Gómez-Rodríguez · 2019
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Cail2019-scm: A dataset of similar case matching in legal domain
Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Tianyang Zhang, Xianpei Han, Zhen Hu, Heng Wang, et al · 2019
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Policyqa: A reading comprehension dataset for privacy policies
Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, and Kai-Wei Chang · 2020
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Generating synthetic data in finance: opportunities, challenges and pitfalls
Samuel A Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E Tillman, Prashant Reddy, and Manuela Veloso · 2020
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Longformer: The long-document transformer
Iz Beltagy, Matthew E Peters, and Arman Cohan · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, et al · 2020
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Fairness in machine learning: A survey
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Legal-bert: The muppets straight out of law school
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, and Ion Androutsopoulos · 2020
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Generating radiology reports via memory-driven transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan · 2020
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ELECTRA: pre-training text encoders as discriminators rather than generators
Kevin Clark, Minh-Thang Luong, Quoc V. Le, and Christopher D. Manning · 2020
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Deep learning for detecting financial statement fraud
Patricia Craja, Alisa Kim, and Stefan Lessmann · 2020
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Cases and materials on torts
Richard A Epstein and Catherine M Sharkey · 2020
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Comprehensive review of text-mining applications in finance
Aaryan Gupta, Vinya Dengre, Hamza Abubakar Kheruwala, and Manan Shah · 2020
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Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A Smith · 2020
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A dataset for statutory reasoning in tax law entailment and question answering
Nils Holzenberger, Andrew Blair-Stanek, and Benjamin Van Durme · 2020
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Aila: A question answering system in the legal domain
Weiyi Huang, Jiahao Jiang, Qiang Qu, and Min Yang · 2020
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Secnlp: A survey of embeddings in clinical natural language processing
Katikapalli Subramanyam Kalyan and Sivanesan Sangeetha · 2020
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Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
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Concept bottleneck models
Pang Wei Koh, Thao Nguyen, Yew Siang Tang, Stephen Mussmann, Emma Pierson, Been Kim, and Percy Liang · 2020
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2020
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Retrieval-augmented generation for knowledge-intensive NLP tasks
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela · 2020
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Event extraction for criminal legal text
Qingquan Li, Qifan Zhang, Junjie Yao, and Yingjie Zhang · 2020
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Towards debiasing sentence representations
Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov, and Louis-Philippe Morency · 2020
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Machine learning for financial risk management: a survey
Akib Mashrur, Wei Luo, Nayyar A Zaidi, and Antonio Robles-Kelly · 2020
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On faithfulness and factuality in abstractive summarization
Joshua Maynez, Shashi Narayan, Bernd Bohnet, and Ryan McDonald · 2020
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Improving factual completeness and consistency of image-to-text radiology report generation
Yasuhide Miura, Yuhao Zhang, Emily Bao Tsai, Curtis P Langlotz, and Dan Jurafsky · 2020
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Deep learning for financial applications: A survey
Ahmet Murat Ozbayoglu, Mehmet Ugur Gudelek, and Omer Berat Sezer · 2020
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Echr: Legal corpus for argument mining
Prakash Poudyal, Jaromír Šavelka, Aagje Ieven, Marie Francine Moens, Teresa Goncalves, and Paulo Quaresma · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 2020
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The future of digital health with federated learning
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger R Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N Galtier, Bennett A Landman, Klaus Maier-Hein, et al · 2020
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Hierarchical chinese legal event extraction via pedal attention mechanism
Shirong Shen, Guilin Qi, Zhen Li, Sheng Bi, and Lusheng Wang · 2020
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Ledgar: A large-scale multi-label corpus for text classification of legal provisions in contracts
Don Tuggener, Pius Von Däniken, Thomas Peetz, and Mark Cieliebak · 2020
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Counterfactual explanations for machine learning: A review
Sahil Verma, John Dickerson, and Keegan Hines · 2020
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Automated labelling using an attention model for radiology reports of mri scans (alarm)
David A Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, et al · 2020
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Ai in the law: Towards assessing ethical risks
Steven A Wright · 2020
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Deep learning in clinical natural language processing: a methodical review
Stephen Wu, Kirk Roberts, Surabhi Datta, Jingcheng Du, Zongcheng Ji, Yuqi Si, Sarvesh Soni, Qiong Wang, Qiang Wei, Yang Xiang, et al · 2020
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Artificial intelligence in the legal field and the indispensable human element legal ethics demands
Nicole Yamane · 2020
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Jec-qa: a legal-domain question answering dataset
Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun · 2020
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Mitigating language-dependent ethnic bias in bert
Jaimeen Ahn and Alice Oh · 2021
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Artificial intelligence in financial services: a qualitative research to discover robo-advisory services
Ankita Bhatia, Arti Chandani, Rizwana Atiq, Mita Mehta, and Rajiv Divekar · 2021
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A survey on the explainability of supervised machine learning
Nadia Burkart and Marco F Huber · 2021
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Extracting training data from large language models
Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et al · 2021
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al · 2023
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Legal syllogism prompting: Teaching large language models for legal judgment prediction
Cong Jiang and Xiaolei Yang · 2023
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Challenges and applications of large language models
Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, and Robert McHardy · 2023
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Embracing large language models for medical applications: opportunities and challenges
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Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Huang, Bryan R. Routledge, and William Yang Wang · 2021
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Xueqi Cheng, Shenghua Liu, Xiaoqian Sun, Zidong Wang, Houquan Zhou, Yu Shao, and Huawei Shen · 2021
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Chatgpt goes to law school
Jonathan H Choi, Kristin E Hickman, Amy B Monahan, and Daniel Schwarcz · 2021
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Neural path hunter: Reducing hallucination in dialogue systems via path grounding
Nouha Dziri, Andrea Madotto, Osmar Zaïane, and Avishek Joey Bose · 2021
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A review of natural language processing for financial technology
Ruizhuo Gao, Zeqi Zhang, Zhenning Shi, Dan Xu, Weijuan Zhang, and Dewei Zhu · 2021
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Role of machine learning in medical research: A survey
Arunim Garg and Vijay Mago · 2021
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Balancing out bias: Achieving fairness through balanced training
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Copyright violations and large language models
Antonia Karamolegkou, Jiaang Li, Li Zhou, and Anders Søgaard · 2023
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Natural language processing in the legal domain
Daniel Martin Katz, Dirk Hartung, Lauritz Gerlach, Abhik Jana, and Michael J Bommarito II · 2023
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Refind: Relation extraction financial dataset
Simerjot Kaur, Charese Smiley, Akshat Gupta, Joy Sain, Dongsheng Wang, Suchetha Siddagangappa, Toyin Aguda, and Sameena Shah · 2023
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Bizbench: A quantitative reasoning benchmark for business and finance
Rik Koncel-Kedziorski, Michael Krumdick, Viet Lai, Varshini Reddy, Charles Lovering, and Chris Tanner · 2023
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Gender bias and stereotypes in large language models
Hadas Kotek, Rikker Dockum, and David Sun · 2023
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Certifying llm safety against adversarial prompting
Aounon Kumar, Chirag Agarwal, Suraj Srinivas, Soheil Feizi, and Hima Lakkaraju · 2023
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Performance of chatgpt on usmle: Potential for ai-assisted medical education using large language models
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A novel evaluation model for assessing chatgpt on otolaryngology–head and neck surgery certification examinations: Performance study
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Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models
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A holistic approach to undesired content detection in the real world
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Is chat gpt biased against conservatives? an empirical study
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Chatgpt: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
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Investigating the factual knowledge boundary of large language models with retrieval augmentation
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Xraygpt: Chest radiographs summarization using medical vision-language models
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UReader: Universal OCR-free visually-situated language understanding with multimodal large language model
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Large language models for robotics: A survey
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