Tag: multimodal AI
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Solar-VLM: Advanced Multimodal Solar Power Forecasting
Discover Solar-VLM, a multimodal vision-language model enhancing solar power forecasting accuracy using satellite imagery, time-series, and weather data.
V2X-QA: Benchmark for Multimodal AI in Autonomous Driving
Discover V2X-QA, a benchmark dataset evaluating multimodal AI models across ego, infrastructure, and cooperative views in autonomous driving.
Agentic-MME: Benchmarking Multimodal Agentic Intelligence
Discover Agentic-MME, a benchmark evaluating multimodal agentic capabilities with real-world tasks, stepwise checkpoints, and unified tool integration.
Do Audio-Visual Large Language Models Truly See and Hear?
Explore how Audio-Visual Large Language Models integrate audio and visual inputs, revealing challenges in multimodal perception and training biases.
First Logit Boosting to Reduce Object Hallucination in LVLMs
Discover First Logit Boosting, a training-free method to reduce object hallucination in large vision-language models for improved accuracy and reliability.