Multimodal Learning

VisualRWKV: Exploring Recurrent Neural Networks for Visual Language Models COLING 2025 Visual Self-Refinement for Autoregressive Models EMNLP 2025 VisualSpeech: Enhancing Prosody Modeling in TTS Using Video Interspeech 2025 Visual Test-time Scaling for GUI Agent Grounding ICCV 2025 VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search EMNLP 2025 Visual Zero-Shot E-Commerce Product Attribute Value Extraction NAACL 2025 VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search ACL 2025 ViTaSCOPE: Visuo-tactile Implicit Representation for In-hand Pose and Extrinsic Contact Estimation RSS 2025 ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers ICCV 2025 VIT-Pro: Visual Instruction Tuning for Product Images NAACL 2025 VividMed: Vision Language Model with Versatile Visual Grounding for Medicine NAACL 2025 VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks ICCV 2025 VladVA: Discriminative Fine-tuning of LVLMs CVPR 2025 VLA-Mark: A cross modal watermark for large vision-language alignment models EMNLP 2025 VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making EMNLP 2025 VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation ICLR 2025 VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration ICLR 2025 VLG-BERT: Towards Better Interpretability in LLMs through Visual and Linguistic Grounding NAACL 2025 VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning ICLR 2025 VLind-Bench: Measuring Language Priors in Large Vision-Language Models NAACL 2025 VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues ACL 2025 VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks ICLR 2025 VLM4D: Towards Spatiotemporal Awareness in Vision Language Models ICCV 2025 VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025 VLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training EMNLP 2025