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multimodal learning

4622 papers

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Also known as

VLM VLLM MM VLA MLLMS MLM MML MULLM LMM MLLM MMT

Co-occurring keywords

large language model (12755) vision-language model (2235) visual question answering (1000) video understanding (1647) multi-modal learning (1276) contrastive learning (3979) representation learning (6174) transfer learning (5442) zero-shot learning (3637) vision language model (752)

Papers

SignCLIP: Connecting Text and Sign Language by Contrastive Learning EMNLP 2024
Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection EMNLP 2024
***YesBut***: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models EMNLP 2024
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification EMNLP 2024
RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets EMNLP 2024
Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering EMNLP 2024
Mitigating Object Hallucination via Concentric Causal Attention NIPS 2024
Multilingual Diversity Improves Vision-Language Representations NIPS 2024
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models NIPS 2024
WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games NIPS 2024
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection NIPS 2024
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ NIPS 2024
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling NIPS 2024
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM NIPS 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP NIPS 2024
GTA: A Benchmark for General Tool Agents NIPS 2024
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents NIPS 2024
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding NIPS 2024
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning NIPS 2024
Multi-Object Hallucination in Vision Language Models NIPS 2024
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model NIPS 2024
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment NIPS 2024
ArMeme: Propagandistic Content in Arabic Memes EMNLP 2024
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs NIPS 2024
MultiClimate: Multimodal Stance Detection on Climate Change Videos EMNLP 2024