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2312.05662
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Understanding the Effect of Model Compression on Social Bias in Large Language Models
9 December 2023
Gustavo Gonçalves
Emma Strubell
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Papers citing
"Understanding the Effect of Model Compression on Social Bias in Large Language Models"
14 / 14 papers shown
Title
Through a Compressed Lens: Investigating the Impact of Quantization on LLM Explainability and Interpretability
Qianli Wang
Mingyang Wang
Nils Feldhus
Simon Ostermann
Yuan Cao
Hinrich Schütze
Sebastian Möller
Vera Schmitt
MQ
12
0
0
20 May 2025
FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models
Dahyun Jung
Seungyoon Lee
Hyeonseok Moon
Chanjun Park
Heuiseok Lim
AAML
ALM
ELM
58
0
0
25 Mar 2025
The Impact of Inference Acceleration on Bias of LLMs
Elisabeth Kirsten
Ivan Habernal
Vedant Nanda
Muhammad Bilal Zafar
41
0
0
20 Feb 2025
On the social bias of speech self-supervised models
Yi-Cheng Lin
T. Lin
Hsi-Che Lin
Andy T. Liu
Hung-yi Lee
39
4
0
07 Jun 2024
Surgical Feature-Space Decomposition of LLMs: Why, When and How?
Arnav Chavan
Nahush Lele
Deepak Gupta
45
2
0
17 May 2024
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration
Ang Li
Jingqian Zhao
Bin Liang
Lin Gui
Hui Wang
Xi Zeng
Xingwei Liang
Kam-Fai Wong
Ruifeng Xu
45
0
0
22 Feb 2024
Building Guardrails for Large Language Models
Yizhen Dong
Ronghui Mu
Gao Jin
Yi Qi
Jinwei Hu
Xingyu Zhao
Jie Meng
Wenjie Ruan
Xiaowei Huang
OffRL
63
27
0
02 Feb 2024
Model Compression Techniques in Biometrics Applications: A Survey
Eduarda Caldeira
Pedro C. Neto
Marco Huber
Naser Damer
Ana F. Sequeira
40
11
0
18 Jan 2024
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation
Orevaoghene Ahia
Julia Kreutzer
Sara Hooker
118
51
0
06 Oct 2021
Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference
Sneha Kudugunta
Yanping Huang
Ankur Bapna
M. Krikun
Dmitry Lepikhin
Minh-Thang Luong
Orhan Firat
MoE
119
107
0
24 Sep 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
265
373
0
28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
218
137
0
23 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
282
2,000
0
31 Dec 2020
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
156
377
0
23 Jul 2020
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