Papers
Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification
Takuma Udagawa, Yang Zhao, Hiroshi Kanayama et al.
Bias Attribution in Filipino Language Models: Extending a Bias Interpretability Metric for Application on Agglutinative Languages
Lance Calvin Lim Gamboa, Yue Feng, Mark G. Lee
Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations
Giorgos Filandrianos, Angeliki Dimitriou, Maria Lymperaiou et al.
Bias Detection in Media: Traditional Models vs. Transformers in Analyzing Social Media Coverage of the Israeli-Gaza Conflict
Marryam Yahya Mohammed, Esraa Ismail Mohamed, Mariam Nabil Esmat et al.
Biased Incomplete Multi-View Learning
Haishun Chen, Cai Xu, Ziyu Guan et al.
BiasEdit: Debiasing Stereotyped Language Models via Model Editing
Xin Xu, Wei Xu, Ningyu Zhang et al.
Biased LLMs can Influence Political Decision-Making
Jillian Fisher, Shangbin Feng, Robert Aron et al.
Biased Tales: Cultural and Topic Bias in Generating Children’s Stories
Donya Rooein, Vilém Zouhar, Debora Nozza et al.
Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference
Grace Proebsting, Adam Poliak
Biases Propagate in Encoder-based Vision-Language Models: A Systematic Analysis From Intrinsic Measures to Zero-shot Retrieval Outcomes
Kshitish Ghate, Tessa Charlesworth, Mona T. Diab et al.
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models
Xiaoqing Cheng, Ruizhe Chen, Hongying Zan et al.
Bias for Action: Video Implicit Neural Representations with Bias Modulation
Alper Kayabasi, Anil Kumar Vadathya, Guha Balakrishnan et al.
BiasGuard: A Reasoning-Enhanced Bias Detection Tool for Large Language Models
Zhiting Fan, Ruizhe Chen, Zuozhu Liu
Bias in Danish Medical Notes: Infection Classification of Long Texts Using Transformer and LSTM Architectures Coupled with BERT
Mehdi Parviz, Rudi Agius, Carsten Niemann et al.
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation
Yusuke Hirota, Ryo Hachiuma, Boyi Li et al.
Bias in Language Models: Beyond Trick Tests and Towards RUTEd Evaluation
Kristian Lum, Jacy Reese Anthis, Kevin Robinson et al.
Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks
Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis
Bias Mitigation in Graph Diffusion Models
Meng Yu, Kun Zhan
Bias Mitigation or Cultural Commonsense? Evaluating LLMs with a Japanese Dataset
Taisei Yamamoto, Ryoma Kumon, Danushka Bollegala et al.
Bias-Resilient Weakly Supervised Semantic Segmentation Using Normalizing Flows
Xianglin Qiu, Xiaoyang Wang, Zhen Zhang et al.
Bias Unveiled: Investigating Social Bias in LLM-Generated Code
Lin Ling, Fazle Rabbi, Song Wang et al.
Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach
Daiki Shirafuji, Makoto Takenaka, Shinya Taguchi
BI-Bench : A Comprehensive Benchmark Dataset and Unsupervised Evaluation for BI Systems
Ankush Gupta, Aniya Aggarwal, Shivangi Bithel et al.