A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ranaldi, Leonardo, Ruzzetti, Elena Sofia, Venditti, Davide, Onorati, Dario, Zanzotto, Fabio Massimo |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models
by: Ranaldi, Leonardo, et al.
Published: (2023)
by: Ranaldi, Leonardo, et al.
Published: (2023)
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
by: Ranaldi, Federico, et al.
Published: (2024)
by: Ranaldi, Federico, et al.
Published: (2024)
Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts
by: Ranaldi, Leonardo, et al.
Published: (2023)
by: Ranaldi, Leonardo, et al.
Published: (2023)
The Dark Side of the Language: Pre-trained Transformers in the DarkNet
by: Ranaldi, Leonardo, et al.
Published: (2022)
by: Ranaldi, Leonardo, et al.
Published: (2022)
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
by: Ruzzetti, Elena Sofia, et al.
Published: (2025)
by: Ruzzetti, Elena Sofia, et al.
Published: (2025)
MeMo: Towards Language Models with Associative Memory Mechanisms
by: Zanzotto, Fabio Massimo, et al.
Published: (2025)
by: Zanzotto, Fabio Massimo, et al.
Published: (2025)
Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages
by: Ruzzetti, Elena Sofia, et al.
Published: (2023)
by: Ruzzetti, Elena Sofia, et al.
Published: (2023)
Animate, or Inanimate, That is the Question for Large Language Models
by: Ranaldi, Leonardo, et al.
Published: (2024)
by: Ranaldi, Leonardo, et al.
Published: (2024)
Enhancing Data Privacy in Large Language Models through Private Association Editing
by: Venditti, Davide, et al.
Published: (2024)
by: Venditti, Davide, et al.
Published: (2024)
HANS, are you clever? Clever Hans Effect Analysis of Neural Systems
by: Ranaldi, Leonardo, et al.
Published: (2023)
by: Ranaldi, Leonardo, et al.
Published: (2023)
Abstract Activation Spaces for Content-Invariant Reasoning in Large Language Models
by: Maraia, Gabriele, et al.
Published: (2026)
by: Maraia, Gabriele, et al.
Published: (2026)
Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations
by: Ranaldi, Leonardo, et al.
Published: (2025)
by: Ranaldi, Leonardo, et al.
Published: (2025)
Protoknowledge Shapes Behaviour of LLMs in Downstream Tasks: Memorization and Generalization with Knowledge Graphs
by: Ranaldi, Federico, et al.
Published: (2025)
by: Ranaldi, Federico, et al.
Published: (2025)
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
by: Miranda, Michele, et al.
Published: (2024)
by: Miranda, Michele, et al.
Published: (2024)
Neuro-symbolic Syntactic Parsing: Shaping a Neural Network with the CYK Algorithm
by: Zanzotto, Fabio Massimo, et al.
Published: (2026)
by: Zanzotto, Fabio Massimo, et al.
Published: (2026)
Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models
by: Mastromattei, Michele, et al.
Published: (2024)
by: Mastromattei, Michele, et al.
Published: (2024)
Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection
by: Mastromattei, Michele, et al.
Published: (2024)
by: Mastromattei, Michele, et al.
Published: (2024)
When Large Language Models contradict humans? Large Language Models' Sycophantic Behaviour
by: Ranaldi, Leonardo, et al.
Published: (2023)
by: Ranaldi, Leonardo, et al.
Published: (2023)
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
by: Ranaldi, Leonardo, et al.
Published: (2024)
by: Ranaldi, Leonardo, et al.
Published: (2024)
Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations
by: Ranaldi, Leonardo, et al.
Published: (2023)
by: Ranaldi, Leonardo, et al.
Published: (2023)
Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations
by: Ranaldi, Leonardo, et al.
Published: (2024)
by: Ranaldi, Leonardo, et al.
Published: (2024)
Dissecting Clinical Reasoning in Language Models: A Comparative Study of Prompts and Model Adaptation Strategies
by: Jullien, Mael, et al.
Published: (2025)
by: Jullien, Mael, et al.
Published: (2025)
Cultural Biases of Large Language Models and Humans in Historical Interpretation
by: Celli, Fabio, et al.
Published: (2025)
by: Celli, Fabio, et al.
Published: (2025)
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models
by: Bai, Yanhong, et al.
Published: (2024)
by: Bai, Yanhong, et al.
Published: (2024)
JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models
by: Yanaka, Hitomi, et al.
Published: (2024)
by: Yanaka, Hitomi, et al.
Published: (2024)
BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models
by: Xie, Tian, et al.
Published: (2025)
by: Xie, Tian, et al.
Published: (2025)
Fair-GPTQ: Bias-Aware Quantization for Large Language Models
by: Proskurina, Irina, et al.
Published: (2025)
by: Proskurina, Irina, et al.
Published: (2025)
Bias and Fairness in Large Language Models: A Survey
by: Gallegos, Isabel O., et al.
Published: (2023)
by: Gallegos, Isabel O., et al.
Published: (2023)
Mitigating Biases in Language Models via Bias Unlearning
by: Liu, Dianqing, et al.
Published: (2025)
by: Liu, Dianqing, et al.
Published: (2025)
Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions
by: Ranaldi, Leonardo, et al.
Published: (2025)
by: Ranaldi, Leonardo, et al.
Published: (2025)
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
by: Rani, Arti, et al.
Published: (2025)
by: Rani, Arti, et al.
Published: (2025)
On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection
by: Elsafoury, Fatma, et al.
Published: (2023)
by: Elsafoury, Fatma, et al.
Published: (2023)
Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models
by: Sorokovikova, Aleksandra, et al.
Published: (2025)
by: Sorokovikova, Aleksandra, et al.
Published: (2025)
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
by: Nissim, Malvina, et al.
Published: (2025)
by: Nissim, Malvina, et al.
Published: (2025)
Towards Fair Rankings: Leveraging LLMs for Gender Bias Detection and Measurement
by: Mousavian, Maryam, et al.
Published: (2025)
by: Mousavian, Maryam, et al.
Published: (2025)
Test-Time Fairness and Robustness in Large Language Models
by: Cotta, Leonardo, et al.
Published: (2024)
by: Cotta, Leonardo, et al.
Published: (2024)
FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models
by: Viswanath, Hrishikesh, et al.
Published: (2023)
by: Viswanath, Hrishikesh, et al.
Published: (2023)
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models
by: Raj, Chahat, et al.
Published: (2024)
by: Raj, Chahat, et al.
Published: (2024)
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task
by: Ranaldi, Leonardo, et al.
Published: (2025)
by: Ranaldi, Leonardo, et al.
Published: (2025)
BiasJailbreak:Analyzing Ethical Biases and Jailbreak Vulnerabilities in Large Language Models
by: Lee, Isack, et al.
Published: (2024)
by: Lee, Isack, et al.
Published: (2024)
Similar Items
-
PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models
by: Ranaldi, Leonardo, et al.
Published: (2023) -
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
by: Ranaldi, Federico, et al.
Published: (2024) -
Empowering Multi-step Reasoning across Languages via Tree-of-Thoughts
by: Ranaldi, Leonardo, et al.
Published: (2023) -
The Dark Side of the Language: Pre-trained Transformers in the DarkNet
by: Ranaldi, Leonardo, et al.
Published: (2022) -
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models
by: Ruzzetti, Elena Sofia, et al.
Published: (2025)