:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Kamruzzaman, Mahammed, Kim, Gene Louis
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	https://arxiv.org/abs/2506.00256
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Prompting Techniques for Reducing Social Bias in LLMs through System 1 and System 2 Cognitive Processes
di: Kamruzzaman, Mahammed, et al.
Pubblicazione: (2024)

Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models
di: Kamruzzaman, Mahammed, et al.
Pubblicazione: (2023)

Exploring Changes in Nation Perception with Nationality-Assigned Personas in LLMs
di: Kamruzzaman, Mahammed, et al.
Pubblicazione: (2024)

"Global is Good, Local is Bad?": Understanding Brand Bias in LLMs
di: Kamruzzaman, Mahammed, et al.
Pubblicazione: (2024)

Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative Models
di: Kamruzzaman, Mahammed, et al.
Pubblicazione: (2023)

Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation
di: Miandoab, Kaveh Eskandari, et al.
Pubblicazione: (2025)

"A Woman is More Culturally Knowledgeable than A Man?": The Effect of Personas on Cultural Norm Interpretation in LLMs
di: Kamruzzaman, Mahammed, et al.
Pubblicazione: (2024)

From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models
di: Kamruzzaman, Mahammed, et al.
Pubblicazione: (2025)

BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla
di: Kamruzzaman, Mahammed, et al.
Pubblicazione: (2024)

ABLEIST: Intersectional Disability Bias in LLM-Generated Hiring Scenarios
di: Phutane, Mahika, et al.
Pubblicazione: (2025)

On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection
di: Elsafoury, Fatma, et al.
Pubblicazione: (2023)

Disclosure and Mitigation of Gender Bias in LLMs
di: Dong, Xiangjue, et al.
Pubblicazione: (2024)

Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations
di: Filandrianos, Giorgos, et al.
Pubblicazione: (2025)

Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed Classes
di: Monsur, Abdullah Al, et al.
Pubblicazione: (2026)

Mitigating Social Bias in English and Urdu Language Models Using PRM-Guided Candidate Selection and Sequential Refinement
di: Khan, Muneeb Ur Raheem
Pubblicazione: (2025)

Fairness or Fluency? An Investigation into Language Bias of Pairwise LLM-as-a-Judge
di: Zhou, Xiaolin, et al.
Pubblicazione: (2026)

Bias Mitigation Agent: Optimizing Source Selection for Fair and Balanced Knowledge Retrieval
di: Singh, Karanbir, et al.
Pubblicazione: (2025)

Bias Beneath the Tone: Empirical Characterisation of Tone Bias in LLM-Driven UX Systems
di: Bodara, Heet, et al.
Pubblicazione: (2025)

Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval
di: Singh, Karanbir, et al.
Pubblicazione: (2025)

Position: LLMs Must Use Functor-Based and RAG-Driven Bias Mitigation for Fairness
di: Ranjan, Ravi, et al.
Pubblicazione: (2026)

Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
di: Hu, Jingyu, et al.
Pubblicazione: (2024)

Agentic AI for Human Resources: LLM-Driven Candidate Assessment
di: Yuksel, Kamer Ali, et al.
Pubblicazione: (2026)

Fairness and Bias in Multimodal AI: A Survey
di: Adewumi, Tosin, et al.
Pubblicazione: (2024)

Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models
di: Sorokovikova, Aleksandra, et al.
Pubblicazione: (2025)

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation
di: Kim, To Eun, et al.
Pubblicazione: (2024)

Intrinsic Meets Extrinsic Fairness: Assessing the Downstream Impact of Bias Mitigation in Large Language Models
di: Arzaghi', 'Mina, et al.
Pubblicazione: (2025)

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes
di: Nawale, Janki Atul, et al.
Pubblicazione: (2025)

Bias and Fairness in Large Language Models: A Survey
di: Gallegos, Isabel O., et al.
Pubblicazione: (2023)

Social Bias Probing: Fairness Benchmarking for Language Models
di: Manerba, Marta Marchiori, et al.
Pubblicazione: (2023)

AccessEval: Benchmarking Disability Bias in Large Language Models
di: Panda, Srikant, et al.
Pubblicazione: (2025)

The Impact of a Chatbot's Ephemerality-Framing on Self-Disclosure Perceptions
di: Cox, Samuel Rhys, et al.
Pubblicazione: (2025)

When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning
di: Wei, Jiaqi, et al.
Pubblicazione: (2026)

Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild
di: Mireshghallah, Niloofar, et al.
Pubblicazione: (2024)

Fair-GPTQ: Bias-Aware Quantization for Large Language Models
di: Proskurina, Irina, et al.
Pubblicazione: (2025)

Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention
di: Jo, Eunkyung, et al.
Pubblicazione: (2024)

Persuasiveness and Bias in LLM: Investigating the Impact of Persuasiveness and Reinforcement of Bias in Language Models
di: Roy, Saumya
Pubblicazione: (2025)

Steering Towards Fairness: Mitigating Political Bias in LLMs
di: Nadeem, Afrozah, et al.
Pubblicazione: (2025)

Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification
di: Chhikara, Garima, et al.
Pubblicazione: (2024)

Fair Representation in Parliamentary Summaries: Measuring and Mitigating Inclusion Bias
di: Cunningham, Eoghan, et al.
Pubblicazione: (2025)

LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial Systems
di: Zhou, Yuhang, et al.
Pubblicazione: (2026)