Cover Image

Examining the Robustness of Homogeneity Bias to Hyperparameter Adjustments in GPT-4

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lee, Messi H. J.
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Token-Level Entropy Reveals Demographic Disparities in Language Models
by: Lee, Messi H. J.
Published: (2025)

Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation
by: Cho, Yooshin, et al.
Published: (2025)

Vision-Language Models Generate More Homogeneous Stories for Phenotypically Black Individuals
by: Lee, Messi H. J., et al.
Published: (2024)

SimpleGPT: Improving GPT via A Simple Normalization Strategy
by: Chen, Marco, et al.
Published: (2026)

BiasConnect: Investigating Bias Interactions in Text-to-Image Models
by: Shukla, Pushkar, et al.
Published: (2025)

Probability of Differentiation Reveals Brittleness of Homogeneity Bias in GPT-4
by: Lee, Messi H. J., et al.
Published: (2024)

An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
by: Ahmadi, Saba, et al.
Published: (2023)

Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations
by: Shi, Kexuan, et al.
Published: (2024)

BodyShapeGPT: SMPL Body Shape Manipulation with LLMs
by: Árbol, Baldomero R., et al.
Published: (2024)

Unleashing the Potential of Model Bias for Generalized Category Discovery
by: An, Wenbin, et al.
Published: (2024)

The Instinctive Bias: Spurious Images lead to Illusion in MLLMs
by: Han, Tianyang, et al.
Published: (2024)

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering
by: Beliaev, Mark, et al.
Published: (2025)

No Training Wheels: Steering Vectors for Bias Correction at Inference Time
by: Gupta, Aviral, et al.
Published: (2025)

FairImagen: Post-Processing for Bias Mitigation in Text-to-Image Models
by: Fu, Zihao, et al.
Published: (2025)

When are Lemons Purple? The Concept Association Bias of Vision-Language Models
by: Yamada, Yutaro, et al.
Published: (2022)

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation
by: Jung, Hoin, et al.
Published: (2026)

What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
by: Zhang, Letian, et al.
Published: (2023)

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
by: Tang, Yuwei, et al.
Published: (2024)

Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks
by: Luo, Yaxin, et al.
Published: (2026)

Harnessing GPT-4V(ision) for Insurance: A Preliminary Exploration
by: Lin, Chenwei, et al.
Published: (2024)

Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation
by: Wang, Yimu, et al.
Published: (2025)

More Distinctively Black and Feminine Faces Lead to Increased Stereotyping in Vision-Language Models
by: Lee, Messi H. J., et al.
Published: (2024)

Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias
by: Kwon, JuneHyoung, et al.
Published: (2026)

DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation
by: Zhou, Yu, et al.
Published: (2025)

Robustness of Structured Data Extraction from Perspectively Distorted Documents
by: Nakada, Hyakka, et al.
Published: (2025)

Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
by: Tian, Junjiao, et al.
Published: (2024)

A Language Anchor-Guided Method for Robust Noisy Domain Generalization
by: Dai, Zilin, et al.
Published: (2025)

URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering
by: Teng, Ge, et al.
Published: (2024)

VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?
by: Gado, Mohamed, et al.
Published: (2025)

Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models
by: Girrbach, Leander, et al.
Published: (2025)

Distributionally Robust Alignment for Medical Federated Vision-Language Pre-training Under Data Heterogeneity
by: Shuai, Zitao, et al.
Published: (2024)

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection
by: Saha, Pramit, et al.
Published: (2024)

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5
by: Ma, Xingjun, et al.
Published: (2026)

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling
by: Zhan, Jun, et al.
Published: (2024)

TempCore: Are Video QA Benchmarks Temporally Grounded? A Frame Selection Sensitivity Analysis and Benchmark
by: Ok, Hyunjong, et al.
Published: (2025)

What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights
by: Wen, Xin, et al.
Published: (2024)

PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation
by: Kim, Kwonyoung, et al.
Published: (2022)

Hyperparameters in Continual Learning: A Reality Check
by: Cha, Sungmin, et al.
Published: (2024)

Investigating Video Reasoning Capability of Large Language Models with Tropes in Movies
by: Su, Hung-Ting, et al.
Published: (2024)

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
by: Parmar, Mihir, et al.
Published: (2022)