Imagen de Portada

BEADs: Bias Evaluation Across Domains

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Raza, Shaina, Rahman, Mizanur, Zhang, Michael R.
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Analyzing the Impact of Fake News on the Anticipated Outcome of the 2024 Election Ahead of Time
por: Raza, Shaina, et al.
Publicado: (2023)

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data
por: Raza, Shaina, et al.
Publicado: (2024)

Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?
por: Chatrath, Veronica, et al.
Publicado: (2024)

Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis
por: Raza, Shaina, et al.
Publicado: (2023)

Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models
por: Sapkota, Ranjan, et al.
Publicado: (2025)

LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation
por: Raval, Ananya, et al.
Publicado: (2025)

Responsible AI in NLP: GUS-Net Span-Level Bias Detection Dataset and Benchmark for Generalizations, Unfairness, and Stereotypes
por: Powers, Maximus, et al.
Publicado: (2024)

Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text
por: Garg, Muskan, et al.
Publicado: (2024)

The Rise of Small Language Models in Healthcare: A Comprehensive Survey
por: Garg, Muskan, et al.
Publicado: (2025)

Academic case reports lack diversity: Assessing the presence and diversity of sociodemographic and behavioral factors related to Post COVID-19 Condition
por: Florez, Juan Andres Medina, et al.
Publicado: (2025)

Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels
por: Yan, Jianhao, et al.
Publicado: (2024)

LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions
por: Rahman, Mizanur, et al.
Publicado: (2025)

Prompting Away Stereotypes? Evaluating Bias in Text-to-Image Models for Occupations
por: Raza, Shaina, et al.
Publicado: (2025)

Framing Political Bias in Multilingual LLMs Across Pakistani Languages
por: Nadeem, Afrozah, et al.
Publicado: (2025)

FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
por: Raza, Shaina, et al.
Publicado: (2024)

Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains
por: Ramprasad, Sanjana, et al.
Publicado: (2024)

Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps
por: Akbar, Khandakar Ashrafi, et al.
Publicado: (2025)

Are Bias Evaluation Methods Biased ?
por: Berrayana, Lina, et al.
Publicado: (2025)

Acceptance Dynamics Across Cognitive Domains in Speculative Decoding
por: Mahmoud, Saif
Publicado: (2026)

Bias in Large Language Models Across Clinical Applications: A Systematic Review
por: Suenghataiphorn, Thanathip, et al.
Publicado: (2025)

Widespread Gender and Pronoun Bias in Moral Judgments Across LLMs
por: Fernandes, Gustavo Lúcius, et al.
Publicado: (2026)

MBIAS: Mitigating Bias in Large Language Models While Retaining Context
por: Raza, Shaina, et al.
Publicado: (2024)

The Deepfakes We Missed: We Built Detectors for a Threat That Didn't Arrive
por: Raza, Shaina
Publicado: (2026)

Comparative Evaluation of ChatGPT and DeepSeek Across Key NLP Tasks: Strengths, Weaknesses, and Domain-Specific Performance
por: Etaiwi, Wael, et al.
Publicado: (2025)

Evaluation Ethics of LLMs in Legal Domain
por: Zhang, Ruizhe, et al.
Publicado: (2024)

DIVERS-Bench: Evaluating Language Identification Across Domain Shifts and Code-Switching
por: Ojo, Jessica, et al.
Publicado: (2025)

PakBBQ: A Culturally Adapted Bias Benchmark for QA
por: Hashmat, Abdullah, et al.
Publicado: (2025)

Explainability in Practice: A Survey of Explainable NLP Across Various Domains
por: Mohammadi, Hadi, et al.
Publicado: (2025)

No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
por: Kumar, Charaka Vinayak, et al.
Publicado: (2025)

Does Reasoning Introduce Bias? A Study of Social Bias Evaluation and Mitigation in LLM Reasoning
por: Wu, Xuyang, et al.
Publicado: (2025)

SQL-Exchange: Transforming SQL Queries Across Domains
por: Daviran, Mohammadreza, et al.
Publicado: (2025)

A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice
por: Raza, Shaina, et al.
Publicado: (2024)

Extending Minimal Pairs with Ordinal Surprisal Curves and Entropy Across Applied Domains
por: Katz, Andrew
Publicado: (2026)

Feature-Augmented Transformers for Robust AI-Text Detection Across Domains and Generators
por: Mady, Mohamed, et al.
Publicado: (2026)

Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents
por: Kim, Kangsan, et al.
Publicado: (2026)

Conformal Prediction for Risk-Controlled Medical Entity Extraction Across Clinical Domains
por: Shrestha, Manil, et al.
Publicado: (2026)

Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures
por: Ying, Shuangshuang, et al.
Publicado: (2025)

IndoBias: A Dual Track Culturally Grounded Benchmark for LLMs Bias Evaluation in Indonesian Languages
por: Hanif, Ikhlasul Akmal, et al.
Publicado: (2026)

Enabling Scalable Evaluation of Bias Patterns in Medical LLMs
por: Fayyaz, Hamed, et al.
Publicado: (2024)

Likelihood-based Mitigation of Evaluation Bias in Large Language Models
por: Oi, Masanari, et al.
Publicado: (2024)