Cover Image

Auditing Disability Representation in Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Panda, Srikant, Yadav, Sourabh Singh, Malviya, Palkesh
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Who Gets Left Behind? Auditing Disability Inclusivity in Large Language Models
by: Dash, Deepika, et al.
Published: (2025)

AccessEval: Benchmarking Disability Bias in Large Language Models
by: Panda, Srikant, et al.
Published: (2025)

Say It Differently: Linguistic Styles as Jailbreak Vectors
by: Panda, Srikant, et al.
Published: (2025)

DAIQ: Auditing Demographic Attribute Inference from Question in LLMs
by: Panda, Srikant, et al.
Published: (2025)

Who's Asking? Investigating Bias Through the Lens of Disability Framed Queries in LLMs
by: Hari, Vishnu, et al.
Published: (2025)

Privacy Auditing of Large Language Models
by: Panda, Ashwinee, et al.
Published: (2025)

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation
by: Pattnayak, Priyaranjan, et al.
Published: (2025)

Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction
by: Basu, Sagnik, et al.
Published: (2025)

How Does Thinking Mode Change LLM Moral Judgments? A Controlled Instant-vs-Thinking Comparison Across Five Frontier Models
by: Madur, Sai Sourabh
Published: (2026)

FinVerBench: Benchmark Validity and Calibration in Large Language Model Financial Statement Verification
by: Panda, Silu
Published: (2026)

AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach
by: Amirizaniani, Maryam, et al.
Published: (2024)

Reliability Auditing for Downstream LLM tasks in Psychiatry: LLM-Generated Hospitalization Risk Scores
by: Panda, Shevya, et al.
Published: (2026)

Auditing Frontier Vision-Language Models for Trustworthy Medical VQA: Grounding Failures, Format Collapse, and Domain Adaptation
by: Chen, Xupeng, et al.
Published: (2026)

FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding
by: Agarwal, Amit, et al.
Published: (2025)

Alignment among Language, Vision and Action Representations
by: Milano, Nicola, et al.
Published: (2026)

Mechanistically Interpreting Compression in Vision-Language Models
by: Elluru, Veeraraju, et al.
Published: (2026)

AuditWen:An Open-Source Large Language Model for Audit
by: Huang, Jiajia, et al.
Published: (2024)

The Geometry of Representational Failures in Vision Language Models
by: Savietto, Daniele, et al.
Published: (2026)

Clinical QA 2.0: Multi-Task Learning for Answer Extraction and Categorization
by: Pattnayak, Priyaranjan, et al.
Published: (2025)

When Prohibitions Become Permissions: Auditing Negation Sensitivity in Language Models
by: Elkins, Katherine, et al.
Published: (2026)

TRUST: A Decentralized Framework for Auditing Large Language Model Reasoning
by: Huang, Morris Yu-Chao, et al.
Published: (2025)

VLA-Trace: Diagnosing Vision-Language-Action Models through Representation and Behavior Tracing
by: Shi, Haoyuan, et al.
Published: (2026)

Towards Security-Auditable LLM Agents: A Unified Graph Representation
by: Li, Chaofan, et al.
Published: (2026)

Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy
by: Pattnayak, Priyaranjan, et al.
Published: (2024)

Auditing Language Model Unlearning via Information Decomposition
by: Goel, Anmol, et al.
Published: (2026)

CALM: Curiosity-Driven Auditing for Large Language Models
by: Zheng, Xiang, et al.
Published: (2025)

LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop
by: Amirizaniani, Maryam, et al.
Published: (2024)

Question the Questions: Auditing Representation in Online Deliberative Processes
by: De, Soham, et al.
Published: (2025)

Scalable Policy-Based RL Algorithms for POMDPs
by: Anjarlekar, Ameya, et al.
Published: (2025)

Representation-Based Data Quality Audits for Audio
by: Gonzalez-Jimenez, Alvaro, et al.
Published: (2025)

Bypassing the Rationale: Causal Auditing of Implicit Reasoning in Language Models
by: Sathyanarayanan, Anish, et al.
Published: (2026)

Output Scouting: Auditing Large Language Models for Catastrophic Responses
by: Bell, Andrew, et al.
Published: (2024)

What Does the AI Doctor Value? Auditing Pluralism in the Clinical Ethics of Language Models
by: Chandak, Payal, et al.
Published: (2026)

Explicit Cognitive Allocation: A Principle for Governed and Auditable Inference in Large Language Models
by: Manzanilla-Granados, Héctor Manuel, et al.
Published: (2026)

IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models
by: Mohsin, Aarish Shah, et al.
Published: (2026)

GTMA: Dynamic Representation Optimization for OOD Vision-Language Models
by: Zhang, Jensen, et al.
Published: (2025)

Robust Finetuning of Vision-Language-Action Robot Policies via Parameter Merging
by: Yadav, Yajat, et al.
Published: (2025)

Lookbehind-SAM: k steps back, 1 step forward
by: Mordido, Gonçalo, et al.
Published: (2023)

The Refusal--Compliance Tradeoff: A Large-Scale Safety Behavior Audit of Large Language Models
by: Hasan, Alif Al, et al.
Published: (2026)

SymGPT: Auditing Smart Contracts via Combining Symbolic Execution with Large Language Models
by: Xia, Shihao, et al.
Published: (2025)