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InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?
16 February 2024
Yogesh Tripathi
Raghav Donakanti
Sahil Girhepuje
Ishan Kavathekar
Bhaskara Hanuma Vedula
Gokul S Krishnan
Shreya Goyal
Anmol Goel
Balaraman Ravindran
Ponnurangam Kumaraguru
ALM
AILaw
ELM
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Papers citing
"InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?"
26 / 26 papers shown
Title
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
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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
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134
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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
125
601
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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
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18 Jul 2023
Can GPT-3 Perform Statutory Reasoning?
Andrew Blair-Stanek
Nils Holzenberger
Benjamin Van Durme
ELM
LRM
111
100
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13 Feb 2023
Legal Prompt Engineering for Multilingual Legal Judgement Prediction
Dietrich Trautmann
Alina Petrova
Frank Schilder
ELM
AILaw
93
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
578
4,391
0
23 Aug 2019
Fairness-enhancing interventions in stream classification
Vasileios Iosifidis
Thi Ngoc Tien Tran
Eirini Ntoutsi
38
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
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