Similar Items
VIALM: A Survey and Benchmark of Visually Impaired Assistance with Large Models
by: Zhao, Yi, et al.
Published: (2024)
by: Zhao, Yi, et al.
Published: (2024)
Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning
by: Hu, Zhe, et al.
Published: (2025)
by: Hu, Zhe, et al.
Published: (2025)
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration
by: Park, ChaeHun, et al.
Published: (2024)
by: Park, ChaeHun, et al.
Published: (2024)
VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values
by: Hu, Zhe, et al.
Published: (2024)
by: Hu, Zhe, et al.
Published: (2024)
Self-Improving VLM Judges Without Human Annotations
by: Lin, Inna Wanyin, et al.
Published: (2025)
by: Lin, Inna Wanyin, et al.
Published: (2025)
VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering
by: Wang, Yanling, et al.
Published: (2025)
by: Wang, Yanling, et al.
Published: (2025)
Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis
by: Liu, Runzhou, et al.
Published: (2026)
by: Liu, Runzhou, et al.
Published: (2026)
EMemBench: Interactive Benchmarking of Episodic Memory for VLM Agents
by: Li, Xinze, et al.
Published: (2026)
by: Li, Xinze, et al.
Published: (2026)
Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark
by: Li, Xuchen, et al.
Published: (2024)
by: Li, Xuchen, et al.
Published: (2024)
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation
by: Hwang, Yerin, et al.
Published: (2025)
by: Hwang, Yerin, et al.
Published: (2025)
Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries
by: Wu, Yin, et al.
Published: (2025)
by: Wu, Yin, et al.
Published: (2025)
MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge
by: Lee, Sua, et al.
Published: (2026)
by: Lee, Sua, et al.
Published: (2026)
VLM Judges Can Rank but Cannot Score: Task-Dependent Uncertainty in Multimodal Evaluation
by: Kumar, Divake, et al.
Published: (2026)
by: Kumar, Divake, et al.
Published: (2026)
K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge
by: Li, Zhikai, et al.
Published: (2026)
by: Li, Zhikai, et al.
Published: (2026)
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
by: Zhang, Di, et al.
Published: (2024)
by: Zhang, Di, et al.
Published: (2024)
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM
by: Li, Xuchen, et al.
Published: (2024)
by: Li, Xuchen, et al.
Published: (2024)
IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding
by: Li, Junxian, et al.
Published: (2025)
by: Li, Junxian, et al.
Published: (2025)
T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation
by: He, Yuze, et al.
Published: (2023)
by: He, Yuze, et al.
Published: (2023)
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models
by: Hu, Yushi, et al.
Published: (2024)
by: Hu, Yushi, et al.
Published: (2024)
Benchmarking and Enhancing VLM for Compressed Image Understanding
by: Zhang, Zifu, et al.
Published: (2025)
by: Zhang, Zifu, et al.
Published: (2025)
Judge Anything: MLLM as a Judge Across Any Modality
by: Pu, Shu, et al.
Published: (2025)
by: Pu, Shu, et al.
Published: (2025)
V-FAT: Benchmarking Visual Fidelity Against Text-bias
by: Wang, Ziteng, et al.
Published: (2026)
by: Wang, Ziteng, et al.
Published: (2026)
VLURes: Benchmarking VLM Visual and Linguistic Understanding in Low-Resource Languages
by: Atuhurra, Jesse, et al.
Published: (2025)
by: Atuhurra, Jesse, et al.
Published: (2025)
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models
by: Wang, Zekun, et al.
Published: (2025)
by: Wang, Zekun, et al.
Published: (2025)
Generalizable Entity Grounding via Assistance of Large Language Model
by: Qi, Lu, et al.
Published: (2024)
by: Qi, Lu, et al.
Published: (2024)
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark
by: Chen, Dongping, et al.
Published: (2024)
by: Chen, Dongping, et al.
Published: (2024)
OViP: Online Vision-Language Preference Learning for VLM Hallucination
by: Liu, Shujun, et al.
Published: (2025)
by: Liu, Shujun, et al.
Published: (2025)
Systematic Reward Gap Optimization for Mitigating VLM Hallucinations
by: He, Lehan, et al.
Published: (2024)
by: He, Lehan, et al.
Published: (2024)
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
by: Laskar, Md Tahmid Rahman, et al.
Published: (2025)
by: Laskar, Md Tahmid Rahman, et al.
Published: (2025)
Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image
by: Hu, Yushi, et al.
Published: (2025)
by: Hu, Yushi, et al.
Published: (2025)
CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning
by: Qi, Ji, et al.
Published: (2024)
by: Qi, Ji, et al.
Published: (2024)
VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction
by: Fan, Zhiwen, et al.
Published: (2025)
by: Fan, Zhiwen, et al.
Published: (2025)
VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation
by: Lin, Kevin Qinghong, et al.
Published: (2025)
by: Lin, Kevin Qinghong, et al.
Published: (2025)
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
by: Hu, Yushi, et al.
Published: (2023)
by: Hu, Yushi, et al.
Published: (2023)
VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
by: Shen, Haozhan, et al.
Published: (2025)
by: Shen, Haozhan, et al.
Published: (2025)
Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language Models
by: Ding, Meidan, et al.
Published: (2025)
by: Ding, Meidan, et al.
Published: (2025)
RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding
by: Li, Jiaang, et al.
Published: (2025)
by: Li, Jiaang, et al.
Published: (2025)
MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems
by: Li, Kaixin, et al.
Published: (2024)
by: Li, Kaixin, et al.
Published: (2024)
VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents
by: Meng, Rui, et al.
Published: (2025)
by: Meng, Rui, et al.
Published: (2025)
A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models
by: Liu, Jie, et al.
Published: (2024)
by: Liu, Jie, et al.
Published: (2024)
Similar Items
-
VIALM: A Survey and Benchmark of Visually Impaired Assistance with Large Models
by: Zhao, Yi, et al.
Published: (2024) -
Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning
by: Hu, Zhe, et al.
Published: (2025) -
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration
by: Park, ChaeHun, et al.
Published: (2024) -
VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values
by: Hu, Zhe, et al.
Published: (2024) -
Self-Improving VLM Judges Without Human Annotations
by: Lin, Inna Wanyin, et al.
Published: (2025)