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Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision-Language Models
Arxiv
0+阅读 · 10月30日
Emu3.5: Native Multimodal Models are World Learners
Arxiv
0+阅读 · 10月30日
Contribution-Guided Asymmetric Learning for Robust Multimodal Fusion under Imbalance and Noise
Arxiv
0+阅读 · 10月30日
FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs
Arxiv
0+阅读 · 10月30日
Decoupled Multimodal Fusion for User Interest Modeling in Click-Through Rate Prediction
Arxiv
0+阅读 · 10月30日
UNO-Bench: A Unified Benchmark for Exploring the Compositional Law Between Uni-modal and Omni-modal in Omni Models
Arxiv
0+阅读 · 10月30日
Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis
Dependency Structure Augmented Contextual Scoping Framework for Multimodal Aspect-Based Sentiment Analysis
Arxiv
0+阅读 · 10月30日
Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
Arxiv
0+阅读 · 10月29日
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles
Arxiv
0+阅读 · 10月30日
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
Arxiv
0+阅读 · 10月30日
Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers
Arxiv
0+阅读 · 10月30日
D-HUMOR: Dark Humor Understanding via Multimodal Open-ended Reasoning - A Benchmark Dataset and Method
Arxiv
0+阅读 · 10月30日
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio-Language Models
Arxiv
0+阅读 · 10月30日
Combining Unsupervised Learning and Statistical Inference For Multimodal N-of-1 Trials
Arxiv
0+阅读 · 10月30日
Fit for Purpose? Deepfake Detection in the Real World
Arxiv
0+阅读 · 10月30日
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