Cover Image

Mixed Signals: Decoding VLMs' Reasoning and Underlying Bias in Vision-Language Conflict

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pezeshkpour, Pouya, Aminnaseri, Moin, Hruschka, Estevam
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Align then Train: Efficient Retrieval Adapter Learning
by: Maekawa, Seiji, et al.
Published: (2026)

Caption This, Reason That: VLMs Caught in the Middle
by: Weng, Zihan, et al.
Published: (2025)

Multi-Conditional Ranking with Large Language Models
by: Pezeshkpour, Pouya, et al.
Published: (2024)

VLMs have Tunnel Vision: Evaluating Nonlocal Visual Reasoning in Leading VLMs
by: Berman, Shmuel, et al.
Published: (2025)

Decoding the Pulse of Reasoning VLMs in Multi-Image Understanding Tasks
by: Li, Chenjun
Published: (2026)

AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs
by: Pezeshkpour, Pouya, et al.
Published: (2026)

Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning
by: Zhang, Gengyuan, et al.
Published: (2023)

Learning Beyond the Surface: How Far Can Continual Pre-Training with LoRA Enhance LLMs' Domain-Specific Insight Learning?
by: Pezeshkpour, Pouya, et al.
Published: (2025)

Insight-RAG: Enhancing LLMs with Insight-Driven Augmentation
by: Pezeshkpour, Pouya, et al.
Published: (2025)

From Task Solving to Robust Real-World Adaptation in LLM Agents
by: Pezeshkpour, Pouya, et al.
Published: (2026)

Edge Reliability Gap in Vision-Language Models: Quantifying Failure Modes of Compressed VLMs Under Visual Corruption
by: Erol, Mehmet Kaan
Published: (2026)

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
by: Pan, Jiazhen, et al.
Published: (2025)

Evaluating Vision Language Models (VLMs) for Radiology: A Comprehensive Analysis
by: Li, Frank, et al.
Published: (2025)

DISSECT: Diagnosing Where Vision Ends and Language Priors Begin in Scientific VLMs
by: Kukreja, Dikshant, et al.
Published: (2026)

Egocentric Bias in Vision-Language Models
by: Wang, Maijunxian, et al.
Published: (2026)

Towards Lossless Ultimate Vision Token Compression for VLMs
by: Zheng, Dehua, et al.
Published: (2025)

From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models
by: Bayat, Farima Fatahi, et al.
Published: (2025)

Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning
by: Ge, Yuyao, et al.
Published: (2025)

Reinforcing VLMs to Use Tools for Detailed Visual Reasoning Under Resource Constraints
by: Kumar, Sunil, et al.
Published: (2025)

Video-based Vehicle Surveillance in the Wild: License Plate, Make, and Model Recognition with Self Reflective Vision-Language Models
by: Parsa, Pouya, et al.
Published: (2025)

Your Vision-Language Model Can't Even Count to 20: Exposing the Failures of VLMs in Compositional Counting
by: Guo, Xuyang, et al.
Published: (2025)

NanoVLMs: How small can we go and still make coherent Vision Language Models?
by: Agarwalla, Mukund, et al.
Published: (2025)

LightZeroNav: Zero-Shot Vision Language Navigation in Continuous Environments Based on Lightweight VLMs
by: Luo, Kun, et al.
Published: (2026)

Uncovering Bias in Large Vision-Language Models with Counterfactuals
by: Howard, Phillip, et al.
Published: (2024)

SycoPhantasy: Quantifying Sycophancy and Hallucination in Small Open Weight VLMs for Vision-Language Scoring of Fantasy Characters
by: Shah, Arya, et al.
Published: (2026)

A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs
by: Vaishnav, Mohit, et al.
Published: (2025)

MetaSpatial: Reinforcing 3D Spatial Reasoning in VLMs for the Metaverse
by: Pan, Zhenyu, et al.
Published: (2025)

Activating Visual Context and Commonsense Reasoning through Masked Prediction in VLMs
by: Yu, Jiaao, et al.
Published: (2025)

Think Twice to See More: Iterative Visual Reasoning in Medical VLMs
by: Chen, Kaitao, et al.
Published: (2025)

SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs
by: Zhang, Yuyou, et al.
Published: (2025)

When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models
by: Ortu, Francesco, et al.
Published: (2025)

Freeze and Reveal: Exposing Modality Bias in Vision-Language Models
by: Kavuri, Vivek Hruday, et al.
Published: (2025)

Enhancing Subsequent Video Retrieval via Vision-Language Models (VLMs)
by: Duan, Yicheng, et al.
Published: (2025)

The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? A Bias-Controlled Study
by: Zhang, Weichen, et al.
Published: (2025)

SpecVLM: Fast Speculative Decoding in Vision-Language Models
by: Huang, Haiduo, et al.
Published: (2025)

BrainDecoder: Style-Based Visual Decoding of EEG Signals
by: Choi, Minsuk, et al.
Published: (2024)

GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing
by: Xiao, Yisong, et al.
Published: (2024)

What "Not" to Detect: Negation-Aware VLMs via Structured Reasoning and Token Merging
by: Kang, Inha, et al.
Published: (2025)

GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data Generation
by: Elmaaroufi, Karim, et al.
Published: (2025)

CSVQA: A Chinese Multimodal Benchmark for Evaluating STEM Reasoning Capabilities of VLMs
by: Jian, Ai, et al.
Published: (2025)