How Quantization Shapes Bias in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Marcuzzi, Federico, Ning, Xuefei, Schwartz, Roy, Gurevych, Iryna |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentially Private Steering for Large Language Model Alignment
by: Goel, Anmol, et al.
Published: (2025)
by: Goel, Anmol, et al.
Published: (2025)
Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling
by: Tamoyan, Hovhannes, et al.
Published: (2025)
by: Tamoyan, Hovhannes, et al.
Published: (2025)
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2024)
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2024)
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities
by: Geng, Jiahui, et al.
Published: (2025)
by: Geng, Jiahui, et al.
Published: (2025)
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
by: Daheim, Nico, et al.
Published: (2024)
by: Daheim, Nico, et al.
Published: (2024)
Hierarchical Latent Structures in Data Generation Process Unify Mechanistic Phenomena across Scale
by: Rohweder, Jonas, et al.
Published: (2026)
by: Rohweder, Jonas, et al.
Published: (2026)
SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2025)
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2025)
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals
by: Saxena, Utkarsh, et al.
Published: (2024)
by: Saxena, Utkarsh, et al.
Published: (2024)
Uncertainty-Aware Decoding with Minimum Bayes Risk
by: Daheim, Nico, et al.
Published: (2025)
by: Daheim, Nico, et al.
Published: (2025)
ABCD-LINK: Annotation Bootstrapping for Cross-Document Fine-Grained Links
by: Basch, Serwar, et al.
Published: (2025)
by: Basch, Serwar, et al.
Published: (2025)
Towards Automated Error Discovery: A Study in Conversational AI
by: Petrak, Dominic, et al.
Published: (2025)
by: Petrak, Dominic, et al.
Published: (2025)
BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models
by: He, Liulu, et al.
Published: (2025)
by: He, Liulu, et al.
Published: (2025)
Quantization of Large Language Models with an Overdetermined Basis
by: Merkulov, Daniil, et al.
Published: (2024)
by: Merkulov, Daniil, et al.
Published: (2024)
Model Merging by Uncertainty-Based Gradient Matching
by: Daheim, Nico, et al.
Published: (2023)
by: Daheim, Nico, et al.
Published: (2023)
FBQuant: FeedBack Quantization for Large Language Models
by: Liu, Yijiang, et al.
Published: (2025)
by: Liu, Yijiang, et al.
Published: (2025)
CBQ: Cross-Block Quantization for Large Language Models
by: Ding, Xin, et al.
Published: (2023)
by: Ding, Xin, et al.
Published: (2023)
Bias in Large Language Models: Origin, Evaluation, and Mitigation
by: Guo, Yufei, et al.
Published: (2024)
by: Guo, Yufei, et al.
Published: (2024)
Race, Ethnicity and Their Implication on Bias in Large Language Models
by: Hu, Shiyue, et al.
Published: (2026)
by: Hu, Shiyue, et al.
Published: (2026)
BAQ: Efficient Bit Allocation Quantization for Large Language Models
by: Zhang, Chao, et al.
Published: (2025)
by: Zhang, Chao, et al.
Published: (2025)
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
by: Shao, Wenqi, et al.
Published: (2023)
by: Shao, Wenqi, et al.
Published: (2023)
Scaling Laws for Post Training Quantized Large Language Models
by: Xu, Zifei, et al.
Published: (2024)
by: Xu, Zifei, et al.
Published: (2024)
Extreme Compression of Large Language Models via Additive Quantization
by: Egiazarian, Vage, et al.
Published: (2024)
by: Egiazarian, Vage, et al.
Published: (2024)
Attribute or Abstain: Large Language Models as Long Document Assistants
by: Buchmann, Jan, et al.
Published: (2024)
by: Buchmann, Jan, et al.
Published: (2024)
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
by: He, Kang, et al.
Published: (2024)
by: He, Kang, et al.
Published: (2024)
On the Compressibility of Quantized Large Language Models
by: Mao, Yu, et al.
Published: (2024)
by: Mao, Yu, et al.
Published: (2024)
Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models
by: Das, Rocktim Jyoti, et al.
Published: (2023)
by: Das, Rocktim Jyoti, et al.
Published: (2023)
Robust Utility-Preserving Text Anonymization Based on Large Language Models
by: Yang, Tianyu, et al.
Published: (2024)
by: Yang, Tianyu, et al.
Published: (2024)
Bias after Prompting: Persistent Discrimination in Large Language Models
by: Sivakumar, Nivedha, et al.
Published: (2025)
by: Sivakumar, Nivedha, et al.
Published: (2025)
Red-Teaming for Inducing Societal Bias in Large Language Models
by: Luo, Chu Fei, et al.
Published: (2024)
by: Luo, Chu Fei, et al.
Published: (2024)
RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models
by: Xu, Zukang, et al.
Published: (2025)
by: Xu, Zukang, et al.
Published: (2025)
Optimizing Large Language Model Training Using FP4 Quantization
by: Wang, Ruizhe, et al.
Published: (2025)
by: Wang, Ruizhe, et al.
Published: (2025)
Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language
by: Gnadt, Kristin, et al.
Published: (2025)
by: Gnadt, Kristin, et al.
Published: (2025)
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
LCQ: Low-Rank Codebook based Quantization for Large Language Models
by: Cai, Wen-Pu, et al.
Published: (2024)
by: Cai, Wen-Pu, et al.
Published: (2024)
QuIP: 2-Bit Quantization of Large Language Models With Guarantees
by: Chee, Jerry, et al.
Published: (2023)
by: Chee, Jerry, et al.
Published: (2023)
Foundations of Large Language Model Compression -- Part 1: Weight Quantization
by: Young, Sean I.
Published: (2024)
by: Young, Sean I.
Published: (2024)
Large Language Models as Interpolated and Extrapolated Event Predictors
by: Zhang, Libo, et al.
Published: (2024)
by: Zhang, Libo, et al.
Published: (2024)
SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models
by: Duanmu, Haojie, et al.
Published: (2024)
by: Duanmu, Haojie, et al.
Published: (2024)
PrefixQuant: Eliminating Outliers by Prefixed Tokens for Large Language Models Quantization
by: Chen, Mengzhao, et al.
Published: (2024)
by: Chen, Mengzhao, et al.
Published: (2024)
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors
by: Macina, Jakub, et al.
Published: (2025)
by: Macina, Jakub, et al.
Published: (2025)
Similar Items
-
Differentially Private Steering for Large Language Model Alignment
by: Goel, Anmol, et al.
Published: (2025) -
Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling
by: Tamoyan, Hovhannes, et al.
Published: (2025) -
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2024) -
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities
by: Geng, Jiahui, et al.
Published: (2025) -
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
by: Daheim, Nico, et al.
Published: (2024)