EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images

The article presents a novel approach to video summarization through a Language-guided Graph Representation Learning Network (LGRLN). This method addresses challenges in existing video summarization techniques, such as capturing global dependencies and accommodating user customization. The proposed system utilizes a video graph generator to create structured graphs from video frames, preserving both temporal order and contextual relationships, ultimately improving the efficiency and effectiveness of video summarization.

The article discusses the challenges of evaluating academic papers due to the increasing volume of publications. It introduces PaperEval, a new framework utilizing Large Language Models (LLMs) for automated paper evaluation. PaperEval features a domain-aware retrieval module and a latent reasoning mechanism, enhancing the assessment of novelty and contributions while improving the understanding of methodologies and motivations in research.