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#Benchmark Dataset

15개의 포스트

[논문리뷰] X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and A Novel LLM-consulted Explanation Framework

Shwetank Shekhar Singh이 arXiv에 게시한 'X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and A Novel LLM-consulted Explanation Framework' 논문에 대한 자세한 리뷰입니다.
#Review#Hate Speech Detection#Explainable AI (XAI)#Multilingual NLP#Large Language Models (LLMs)#Attention Mechanism#N-gram Explanations#Human Rationales#Benchmark Dataset
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[논문리뷰] Beyond Memorization: A Multi-Modal Ordinal Regression Benchmark to Expose Popularity Bias in Vision-Language Models

Yu-Lun Liu이 arXiv에 게시한 'Beyond Memorization: A Multi-Modal Ordinal Regression Benchmark to Expose Popularity Bias in Vision-Language Models' 논문에 대한 자세한 리뷰입니다.
#Review#Vision-Language Models (VLMs)#Popularity Bias#Ordinal Regression#Building Age Estimation#Multi-modal Learning#Benchmark Dataset#Explainable AI
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[논문리뷰] IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual Prompting

arXiv에 게시된 'IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual Prompting' 논문에 대한 자세한 리뷰입니다.
#Review#Multimodal Large Language Models (MLLMs)#Infrared Image Understanding#Benchmark Dataset#Visual Question Answering (VQA)#Generative Visual Prompting (GenViP)#Domain Adaptation#Image-to-Image Translation
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[논문리뷰] Dr.V: A Hierarchical Perception-Temporal-Cognition Framework to Diagnose Video Hallucination by Fine-grained Spatial-Temporal Grounding

Li Zheng이 arXiv에 게시한 'Dr.V: A Hierarchical Perception-Temporal-Cognition Framework to Diagnose Video Hallucination by Fine-grained Spatial-Temporal Grounding' 논문에 대한 자세한 리뷰입니다.
#Review#Video Hallucination#Large Video Models (LVMs)#Hierarchical Reasoning#Spatial-Temporal Grounding#Diagnostic Framework#Benchmark Dataset#Multimodal AI
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