:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Puttick, Alexandre, Rankwiler, Leander, Ikae, Catherine, Kurpicz-Briki, Mascha
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2407.18689
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review
by: Ikae, Catherine, et al.
Published: (2024)

Using Natural Language Processing to find Indication for Burnout with Text Classification: From Online Data to Real-World Data
by: Kurpicz-Briki, Mascha, et al.
Published: (2024)

Local Transcription Models in Home Care Nursing in Switzerland: an Interdisciplinary Case Study
by: Kramer, Jeremy, et al.
Published: (2024)

Integrating Generative AI into Art Therapy: A Technical Showcase
by: Schmutz, Yannis Valentin, et al.
Published: (2024)

Evaluating Metrics for Bias in Word Embeddings
by: Schröder, Sarah, et al.
Published: (2021)

Word Embeddings Are Steers for Language Models
by: Han, Chi, et al.
Published: (2023)

RuBia: A Russian Language Bias Detection Dataset
by: Grigoreva, Veronika, et al.
Published: (2024)

Detection, Classification, and Mitigation of Gender Bias in Large Language Models
by: Cheng, Xiaoqing, et al.
Published: (2025)

Mitigating Gender Bias in Contextual Word Embeddings
by: Yarrabelly, Navya, et al.
Published: (2024)

BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models
by: Fan, Zhiting, 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)

Detecting Bias in Large Language Models: Fine-tuned KcBERT
by: Lee, J. K., et al.
Published: (2024)

Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare
by: Zahraei, Pardis Sadat, et al.
Published: (2024)

Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word Embeddings
by: Schuster, Carolin M., et al.
Published: (2024)

Classifying German Language Proficiency Levels Using Large Language Models
by: Ahlers, Elias-Leander, et al.
Published: (2025)

Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias
by: Dorn, Rebecca, et al.
Published: (2024)

Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing
by: Yilmaz, Berk, et al.
Published: (2025)

IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
by: Lin, Luyang, et al.
Published: (2024)

Unknown Word Detection for English as a Second Language (ESL) Learners Using Gaze and Pre-trained Language Models
by: Ding, Jiexin, et al.
Published: (2025)

A Systematic Study of In-the-Wild Model Merging for Large Language Models
by: Hitit, Oğuz Kağan, et al.
Published: (2025)

Language Independent Stance Detection: Social Interaction-based Embeddings and Large Language Models
by: de Landa, Joseba Fernandez, et al.
Published: (2022)

Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies
by: Abrar, Ajwad, et al.
Published: (2025)

From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings
by: Rakshit, Aishik, et al.
Published: (2024)

From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models
by: Zhang, Charles, et al.
Published: (2024)

Investigating Annotator Bias in Large Language Models for Hate Speech Detection
by: Das, Amit, et al.
Published: (2024)

Automated Detection and Analysis of Power Words in Persuasive Text Using Natural Language Processing
by: Garje, Sahil
Published: (2024)

Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment
by: Miao, Zhongtao, et al.
Published: (2024)

Do Language Models' Words Refer?
by: Mandelkern, Matthew, et al.
Published: (2023)

Tracing the Evolution of Word Embedding Techniques in Natural Language Processing
by: Nguyen, Minh Anh, et al.
Published: (2026)

Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection
by: Vykopal, Ivan, et al.
Published: (2025)

Decoding Biases: Automated Methods and LLM Judges for Gender Bias Detection in Language Models
by: Kumar, Shachi H, et al.
Published: (2024)

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions
by: Valentino, Marco, et al.
Published: (2023)

QCSE: A Pretrained Quantum Context-Sensitive Word Embedding for Natural Language Processing
by: Varmantchaonala, Charles M., et al.
Published: (2025)

Detecting LLM-Generated Spam Reviews by Integrating Language Model Embeddings and Graph Neural Network
by: Liu, Xin, et al.
Published: (2025)

Word Definitions from Large Language Models
by: Pham, Bach, et al.
Published: (2023)

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models
by: Cheng, Xiaoqing, et al.
Published: (2025)

SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
by: Mou, Guanyi, et al.
Published: (2024)

Bias in, Bias out: Annotation Bias in Multilingual Large Language Models
by: Cui, Xia, et al.
Published: (2025)

Word Meanings in Transformer Language Models
by: Grindrod, Jumbly, et al.
Published: (2025)

Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models
by: Piot, Paloma, et al.
Published: (2025)