[De|Re]constructing VLMs' Reasoning in Counting
Fuente:
arXiv
Saved in:
| Main Authors: | Alghisi, Simone, Roccabruna, Gabriel, Rizzoli, Massimo, Mousavi, Seyed Mahed, Riccardi, Giuseppe |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CIVET: Systematic Evaluation of Understanding in VLMs
by: Rizzoli, Massimo, et al.
Published: (2025)
by: Rizzoli, Massimo, et al.
Published: (2025)
Getting to the Point: Pointing Improves LVLMs at Counting
by: Alghisi, Simone, et al.
Published: (2026)
by: Alghisi, Simone, et al.
Published: (2026)
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue
by: Alghisi, Simone, et al.
Published: (2024)
by: Alghisi, Simone, et al.
Published: (2024)
Are LLMs Robust for Spoken Dialogues?
by: Mousavi, Seyed Mahed, et al.
Published: (2024)
by: Mousavi, Seyed Mahed, et al.
Published: (2024)
LLMs as Repositories of Factual Knowledge: Limitations and Solutions
by: Mousavi, Seyed Mahed, et al.
Published: (2025)
by: Mousavi, Seyed Mahed, et al.
Published: (2025)
What Does Loss Optimization Actually Teach, If Anything? Knowledge Dynamics in Continual Pre-training of LLMs
by: Mousavi, Seyed Mahed, et al.
Published: (2026)
by: Mousavi, Seyed Mahed, et al.
Published: (2026)
DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs
by: Mousavi, Seyed Mahed, et al.
Published: (2024)
by: Mousavi, Seyed Mahed, et al.
Published: (2024)
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?
by: Roccabruna, Gabriel, et al.
Published: (2024)
by: Roccabruna, Gabriel, et al.
Published: (2024)
V-DyKnow: A Dynamic Benchmark for Time-Sensitive Knowledge in Vision Language Models
by: Mousavi, Seyed Mahed, et al.
Published: (2026)
by: Mousavi, Seyed Mahed, et al.
Published: (2026)
Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It
by: Mousavi, Seyed Mahed, et al.
Published: (2025)
by: Mousavi, Seyed Mahed, et al.
Published: (2025)
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination
by: Shi, Chufan, et al.
Published: (2026)
by: Shi, Chufan, et al.
Published: (2026)
Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
by: Shen, Yifan, et al.
Published: (2025)
by: Shen, Yifan, et al.
Published: (2025)
MATEO: A Multimodal Benchmark for Temporal Reasoning and Planning in LVLMs
by: Roccabruna, Gabriel, et al.
Published: (2026)
by: Roccabruna, Gabriel, et al.
Published: (2026)
Reasmory: 3D Reconstruction as Explicit Memory for VLMs Spatial Reasoning
by: He, Jixuan, et al.
Published: (2026)
by: He, Jixuan, et al.
Published: (2026)
Are VLMs Really Blind
by: Singh, Ayush, et al.
Published: (2024)
by: Singh, Ayush, et al.
Published: (2024)
VLM-FO1: Bridging the Gap Between High-Level Reasoning and Fine-Grained Perception in VLMs
by: Liu, Peng, et al.
Published: (2025)
by: Liu, Peng, et al.
Published: (2025)
iVISPAR -- An Interactive Visual-Spatial Reasoning Benchmark for VLMs
by: Mayer, Julius, et al.
Published: (2025)
by: Mayer, Julius, et al.
Published: (2025)
Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs
by: Lu, Meng, et al.
Published: (2025)
by: Lu, Meng, et al.
Published: (2025)
On the Perception Bottleneck of VLMs for Chart Understanding
by: Liu, Junteng, et al.
Published: (2025)
by: Liu, Junteng, et al.
Published: (2025)
LaRe: Latent Refocusing for Multimodal Reasoning
by: Ma, Jizheng, et al.
Published: (2025)
by: Ma, Jizheng, et al.
Published: (2025)
SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs
by: Avogaro, Niccolo, et al.
Published: (2026)
by: Avogaro, Niccolo, et al.
Published: (2026)
ReMI: A Dataset for Reasoning with Multiple Images
by: Kazemi, Mehran, et al.
Published: (2024)
by: Kazemi, Mehran, et al.
Published: (2024)
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
by: Qiao, Yuxuan, et al.
Published: (2024)
by: Qiao, Yuxuan, et al.
Published: (2024)
Shakti-VLMs: Scalable Vision-Language Models for Enterprise AI
by: Shakhadri, Syed Abdul Gaffar, et al.
Published: (2025)
by: Shakhadri, Syed Abdul Gaffar, et al.
Published: (2025)
Smart Eyes for Silent Threats: VLMs and In-Context Learning for THz Imaging
by: Poggi, Nicolas, et al.
Published: (2025)
by: Poggi, Nicolas, et al.
Published: (2025)
VLMs-in-the-Wild: Bridging the Gap Between Academic Benchmarks and Enterprise Reality
by: Bandraupalli, Srihari, et al.
Published: (2025)
by: Bandraupalli, Srihari, et al.
Published: (2025)
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment
by: Cambrin, Daniele Rege, et al.
Published: (2024)
by: Cambrin, Daniele Rege, et al.
Published: (2024)
VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization
by: Chen, Menglan, et al.
Published: (2025)
by: Chen, Menglan, et al.
Published: (2025)
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?
by: Park, Simon, et al.
Published: (2025)
by: Park, Simon, et al.
Published: (2025)
Global-Local Tree Search in VLMs for 3D Indoor Scene Generation
by: Deng, Wei, et al.
Published: (2025)
by: Deng, Wei, et al.
Published: (2025)
Multimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMs
by: Dey, Abhishek, et al.
Published: (2025)
by: Dey, Abhishek, et al.
Published: (2025)
Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding
by: Ye, Junyi, et al.
Published: (2024)
by: Ye, Junyi, et al.
Published: (2024)
Through the Lens of Contrast: Self-Improving Visual Reasoning in VLMs
by: Pan, Zhiyu, et al.
Published: (2026)
by: Pan, Zhiyu, et al.
Published: (2026)
Counting to Four is still a Chore for VLMs
by: Anh, Duy Le Dinh, et al.
Published: (2026)
by: Anh, Duy Le Dinh, et al.
Published: (2026)
SemVink: Advancing VLMs' Semantic Understanding of Optical Illusions via Visual Global Thinking
by: Li, Sifan, et al.
Published: (2025)
by: Li, Sifan, et al.
Published: (2025)
Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison
by: Yang, Qian, et al.
Published: (2024)
by: Yang, Qian, et al.
Published: (2024)
VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors
by: Shahgir, Haz Sameen, et al.
Published: (2026)
by: Shahgir, Haz Sameen, et al.
Published: (2026)
Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies
by: Gao, Yingqiang, et al.
Published: (2024)
by: Gao, Yingqiang, et al.
Published: (2024)
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
by: Belouadi, Jonas, et al.
Published: (2024)
by: Belouadi, Jonas, et al.
Published: (2024)
WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization
by: Tao, Wei, et al.
Published: (2026)
by: Tao, Wei, et al.
Published: (2026)
Similar Items
-
CIVET: Systematic Evaluation of Understanding in VLMs
by: Rizzoli, Massimo, et al.
Published: (2025) -
Getting to the Point: Pointing Improves LVLMs at Counting
by: Alghisi, Simone, et al.
Published: (2026) -
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue
by: Alghisi, Simone, et al.
Published: (2024) -
Are LLMs Robust for Spoken Dialogues?
by: Mousavi, Seyed Mahed, et al.
Published: (2024) -
LLMs as Repositories of Factual Knowledge: Limitations and Solutions
by: Mousavi, Seyed Mahed, et al.
Published: (2025)