Title
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Art or Artifice? Large Language Models and the False Promise of Creativity Tuhin Chakrabarty Philippe Laban Divyansh Agarwal Smaranda Muresan Chien-Sheng Wu 82 134 0 25 Sep 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 122 601 0 02 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 413 12,076 0 18 Jul 2023
Can GPT-3 Perform Statutory Reasoning? Andrew Blair-Stanek Nils Holzenberger Benjamin Van Durme ELM LRM 111 100 0 13 Feb 2023
Legal Prompt Engineering for Multilingual Legal Judgement Prediction Dietrich Trautmann Alina Petrova Frank Schilder ELM AILaw 91 79 0 05 Dec 2022
Re-contextualizing Fairness in NLP: The Case of India Shaily Bhatt Sunipa Dev Partha P. Talukdar Shachi Dave Vinodkumar Prabhakaran 77 60 0 25 Sep 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 97 176 0 14 Jul 2022
HLDC: Hindi Legal Documents Corpus Arnav Kapoor Mudit Dhawan Anmol Goel T. H. Arjun Akshala Bhatnagar Vibhu Agrawal Amul Agrawal Arnab Bhattacharya Ponnurangam Kumaraguru Ashutosh Modi AILaw 74 22 0 02 Apr 2022
Identifying biases in legal data: An algorithmic fairness perspective J. Sargent Melanie Weber FaML 71 7 0 21 Sep 2021
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation Vijit Malik Rishabh Sanjay S. Nigam Kripabandhu Ghosh S. Guha Arnab Bhattacharya Ashutosh Modi ELM AILaw 96 149 0 28 May 2021
Factoring Statutory Reasoning as Language Understanding Challenges Nils Holzenberger Benjamin Van Durme ELM AILaw LRM 57 24 0 17 May 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 100 184 0 25 Jan 2021
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach Suyun Liu Luis Nunes Vicente FaML 65 71 0 03 Aug 2020
Data science and AI in FinTech: An overview LongBing Cao Qiang Yang Philip S. Yu AIFin 110 89 0 10 Jul 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 574 4,391 0 23 Aug 2019
Fairness-enhancing interventions in stream classification Vasileios Iosifidis Thi Ngoc Tien Tran Eirini Ntoutsi 36 25 0 16 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 82 120 0 28 Jun 2019
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 216 309 0 15 Jun 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 204 1,393 0 22 Jan 2018
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World S. Shankar Yoni Halpern Eric Breck James Atwood Jimbo Wilson D. Sculley 78 297 0 22 Nov 2017
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations Alex Beutel Jilin Chen Zhe Zhao Ed H. Chi FaML 111 442 0 01 Jul 2017
Achieving non-discrimination in prediction Lu Zhang Yongkai Wu Xintao Wu FaML 51 32 0 28 Feb 2017
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 330 105 0 25 Oct 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 212 1,996 0 11 Dec 2014