COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Sinha, Sanchit, Xiong, Guangzhi, Zhang, Aidong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
by: He, Zhenghao, et al.
Published: (2025)
by: He, Zhenghao, et al.
Published: (2025)
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning
by: Sinha, Sanchit, et al.
Published: (2026)
by: Sinha, Sanchit, et al.
Published: (2026)
CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models
by: He, Zhenghao, et al.
Published: (2026)
by: He, Zhenghao, et al.
Published: (2026)
Retrieving Counterfactuals Improves Visual In-Context Learning
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
Chart-RVR: Reinforcement Learning with Verifiable Rewards for Explainable Chart Reasoning
by: Sinha, Sanchit, et al.
Published: (2025)
by: Sinha, Sanchit, et al.
Published: (2025)
Structural Causality-based Generalizable Concept Discovery Models
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
A Self-explaining Neural Architecture for Generalizable Concept Learning
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
CoLiDR: Concept Learning using Aggregated Disentangled Representations
by: Sinha, Sanchit, et al.
Published: (2024)
by: Sinha, Sanchit, et al.
Published: (2024)
Investigating Spatial Attention Bias in Vision-Language Models
by: Chaudhary, Aryan, et al.
Published: (2025)
by: Chaudhary, Aryan, et al.
Published: (2025)
Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models
by: He, Zhenghao, et al.
Published: (2026)
by: He, Zhenghao, et al.
Published: (2026)
PathoHR: Hierarchical Reasoning for Vision-Language Models in Pathology
by: Huang, Yating, et al.
Published: (2025)
by: Huang, Yating, et al.
Published: (2025)
From COCO to COCO-FP: A Deep Dive into Background False Positives for COCO Detectors
by: Liu, Longfei, et al.
Published: (2024)
by: Liu, Longfei, et al.
Published: (2024)
Triage: Hierarchical Visual Budgeting for Efficient Video Reasoning in Vision-Language Models
by: Wang, Anmin, et al.
Published: (2026)
by: Wang, Anmin, et al.
Published: (2026)
Perceptual Taxonomy: Evaluating and Guiding Hierarchical Scene Reasoning in Vision-Language Models
by: Lee, Jonathan, et al.
Published: (2025)
by: Lee, Jonathan, et al.
Published: (2025)
VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism
by: Zhang, Congzhi, et al.
Published: (2025)
by: Zhang, Congzhi, et al.
Published: (2025)
Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation
by: Xu, Ming, et al.
Published: (2024)
by: Xu, Ming, et al.
Published: (2024)
Hierarchical Reasoning with Vision-Language Models for Incident Reports from Dashcam Videos
by: Yokoi, Shingo, et al.
Published: (2025)
by: Yokoi, Shingo, et al.
Published: (2025)
Improving Concept Alignment in Vision-Language Concept Bottleneck Models
by: Selvaraj, Nithish Muthuchamy, et al.
Published: (2024)
by: Selvaraj, Nithish Muthuchamy, et al.
Published: (2024)
Concept-Guided Prompt Learning for Generalization in Vision-Language Models
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity
by: Xiong, Guangzhi, et al.
Published: (2026)
by: Xiong, Guangzhi, et al.
Published: (2026)
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
by: Xiong, Guangzhi, et al.
Published: (2024)
by: Xiong, Guangzhi, et al.
Published: (2024)
Synthetic Vasculature and Pathology Enhance Vision-Language Model Reasoning
by: Li, Chenjun, et al.
Published: (2025)
by: Li, Chenjun, et al.
Published: (2025)
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
by: Ye, Angen, et al.
Published: (2025)
by: Ye, Angen, et al.
Published: (2025)
Prompting Large Vision-Language Models for Compositional Reasoning
by: Ossowski, Timothy, et al.
Published: (2024)
by: Ossowski, Timothy, et al.
Published: (2024)
COCONut: Modernizing COCO Segmentation
by: Deng, Xueqing, et al.
Published: (2024)
by: Deng, Xueqing, et al.
Published: (2024)
U-VLM: Hierarchical Vision Language Modeling for Report Generation
by: Shi, Pengcheng, et al.
Published: (2026)
by: Shi, Pengcheng, et al.
Published: (2026)
Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning
by: Liang, Dayong, et al.
Published: (2025)
by: Liang, Dayong, et al.
Published: (2025)
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
by: Sun, Guangzhi, et al.
Published: (2025)
by: Sun, Guangzhi, et al.
Published: (2025)
3D-COCO: extension of MS-COCO dataset for image detection and 3D reconstruction modules
by: Bideaux, Maxence, et al.
Published: (2024)
by: Bideaux, Maxence, et al.
Published: (2024)
EgoMotion: Hierarchical Reasoning and Diffusion for Egocentric Vision-Language Motion Generation
by: Hou, Ruibing, et al.
Published: (2026)
by: Hou, Ruibing, et al.
Published: (2026)
Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical Reasoning
by: Harmanani, Mohamed, et al.
Published: (2026)
by: Harmanani, Mohamed, et al.
Published: (2026)
Med-StepBench: A Hierarchical Reasoning Framework for Evaluating Hallucinations in Medical Vision-Language Models
by: Nguyen, Minh Khoi, et al.
Published: (2026)
by: Nguyen, Minh Khoi, et al.
Published: (2026)
MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models
by: Wu, Xiyang, et al.
Published: (2025)
by: Wu, Xiyang, et al.
Published: (2025)
Think Hierarchically, Act Dynamically: Hierarchical Multi-modal Fusion and Reasoning for Vision-and-Language Navigation
by: Yue, Junrong, et al.
Published: (2025)
by: Yue, Junrong, et al.
Published: (2025)
SDRT: Enhance Vision-Language Models by Self-Distillation with Diverse Reasoning Traces
by: Wu, Guande, et al.
Published: (2025)
by: Wu, Guande, et al.
Published: (2025)
RoCOCO: Robustness Benchmark of MS-COCO to Stress-test Image-Text Matching Models
by: Park, Seulki, et al.
Published: (2023)
by: Park, Seulki, et al.
Published: (2023)
Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models
by: Zhang, Yikai, et al.
Published: (2024)
by: Zhang, Yikai, et al.
Published: (2024)
Similar Items
-
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers
by: Sinha, Sanchit, et al.
Published: (2025) -
Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models
by: Sinha, Sanchit, et al.
Published: (2025) -
GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability
by: He, Zhenghao, et al.
Published: (2025) -
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
by: Xiong, Guangzhi, et al.
Published: (2026) -
Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning
by: Sinha, Sanchit, et al.
Published: (2026)