Copertina

Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Weng, Zhaotian, Gao, Zijun, Andrews, Jerone, Zhao, Jieyu
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition I.2.7
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning
di: Weng, Zhaotian, et al.
Pubblicazione: (2025)

System-Mediated Attention Imbalances Make Vision-Language Models Say Yes
di: Chan, Tsan Tsai, et al.
Pubblicazione: (2026)

Large Language Model (LLM) Bias Index -- LLMBI
di: Oketunji, Abiodun Finbarrs, et al.
Pubblicazione: (2023)

How BERT Speaks Shakespearean English? Evaluating Historical Bias in Contextual Language Models
di: Cuscito, Miriam, et al.
Pubblicazione: (2024)

Exploring and Mitigating Gender Bias in Encoder-Based Transformer Models
di: Hossain, Ariyan, et al.
Pubblicazione: (2025)

Mitigating Translationese in Low-resource Languages: The Storyboard Approach
di: Kuwanto, Garry, et al.
Pubblicazione: (2024)

Revisiting Word Embeddings in the LLM Era
di: Mahajan, Yash, et al.
Pubblicazione: (2024)

Are Non-English Papers Reviewed Fairly? Language-of-Study Bias in NLP Peer Reviews
di: Barkhordar, Ehsan, et al.
Pubblicazione: (2026)

On the Limitations of Vision-Language Models in Understanding Image Transforms
di: Anis, Ahmad Mustafa, et al.
Pubblicazione: (2025)

Big City Bias: Evaluating the Impact of Metropolitan Size on Computational Job Market Abilities of Language Models
di: Campanella, Charlie, et al.
Pubblicazione: (2024)

Towards Human Understanding of Paraphrase Types in Large Language Models
di: Meier, Dominik, et al.
Pubblicazione: (2024)

LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty
di: Zhang, Zhen, et al.
Pubblicazione: (2024)

Towards Massive Multilingual Holistic Bias
di: Tan, Xiaoqing Ellen, et al.
Pubblicazione: (2024)

CRISP: Persistent Concept Unlearning via Sparse Autoencoders
di: Ashuach, Tomer, et al.
Pubblicazione: (2025)

A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models
di: Balasubramanian, Sriram, et al.
Pubblicazione: (2025)

Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance
di: Cacioli, Jon-Paul
Pubblicazione: (2026)

Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size?
di: Collado-Montañez, Jaime, et al.
Pubblicazione: (2025)

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

PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer
di: Sun, Huashan, et al.
Pubblicazione: (2023)

Integrating Causal Reasoning into Automated Fact-Checking
di: Rebboud, Youssra, et al.
Pubblicazione: (2025)

A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text Summarization
di: Morshed, Fahim, et al.
Pubblicazione: (2024)

2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset
di: Costa-jussà, Marta R., et al.
Pubblicazione: (2024)

Textual Entailment is not a Better Bias Metric than Token Probability
di: Felkner, Virginia K., et al.
Pubblicazione: (2025)

Credit C-GPT: A Domain-Specialized Large Language Model for Conversational Understanding in Vietnamese Debt Collection
di: Hong, Nhung Nguyen Thi, et al.
Pubblicazione: (2026)

UniHetero: Could Generation Enhance Understanding for Vision-Language-Model at Large Data Scale?
di: Chen, Fengjiao, et al.
Pubblicazione: (2025)

Extracting Probabilistic Knowledge from Large Language Models for Bayesian Network Parameterization
di: Nafar, Aliakbar, et al.
Pubblicazione: (2025)

RBCorr: Response Bias Correction in Language Models
di: Bhatt, Om, et al.
Pubblicazione: (2026)

CauESC: A Causal Aware Model for Emotional Support Conversation
di: Chen, Wei, et al.
Pubblicazione: (2024)

Teaching a Language Model to Speak the Language of Tools
di: Emanuilov, Simeon
Pubblicazione: (2025)

SWI: Speaking with Intent in Large Language Models
di: Yin, Yuwei, et al.
Pubblicazione: (2025)

RUQuant: Towards Refining Uniform Quantization for Large Language Models
di: Liu, Han, et al.
Pubblicazione: (2026)

Textual Data Bias Detection and Mitigation -- An Extensible Pipeline with Experimental Evaluation
di: Görge, Rebekka, et al.
Pubblicazione: (2025)

Aligning Large Language Models for Faithful Integrity Against Opposing Argument
di: Zhao, Yong, et al.
Pubblicazione: (2025)

A Semantic Approach to Negation Detection and Word Disambiguation with Natural Language Processing
di: Okpala, Izunna, et al.
Pubblicazione: (2023)

Engineering A Large Language Model From Scratch
di: Oketunji, Abiodun Finbarrs
Pubblicazione: (2024)

Curating Grounded Synthetic Data with Global Perspectives for Equitable AI
di: Törnquist, Elin, et al.
Pubblicazione: (2024)

Word Importance Explains How Prompts Affect Language Model Outputs
di: Hackmann, Stefan, et al.
Pubblicazione: (2024)

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models
di: Liu, Han, et al.
Pubblicazione: (2026)

LoRS: Efficient Low-Rank Adaptation for Sparse Large Language Model
di: Hu, Yuxuan, et al.
Pubblicazione: (2025)

Document Understanding for Healthcare Referrals
di: Mistry, Jimit, et al.
Pubblicazione: (2023)