Summary of Neurosymbolic Graph Enrichment For Grounded World Models, by Stefano De Giorgis et al.
Neurosymbolic Graph Enrichment for Grounded World Modelsby Stefano De Giorgis, Aldo Gangemi, Alessandro RussoFirst submitted…
Summary of Enhanced Sign Language Translation Between American Sign Language (asl) and Indian Sign Language (isl) Using Llms, by Malay Kumar et al.
Enhanced Sign Language Translation between American Sign Language (ASL) and Indian Sign Language (ISL) Using…
Summary of Bytescience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity, by Tong Xie et al.
ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in…
Summary of Biancang: a Traditional Chinese Medicine Large Language Model, by Sibo Wei et al.
BianCang: A Traditional Chinese Medicine Large Language Modelby Sibo Wei, Xueping Peng, Yi-fei Wang, Jiasheng…
Summary of Zero-shot Automatic Annotation and Instance Segmentation Using Llm-generated Datasets: Eliminating Field Imaging and Manual Annotation For Deep Learning Model Development, by Ranjan Sapkota et al.
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation…
Summary of A Dataset Of Questions on Decision-theoretic Reasoning in Newcomb-like Problems, by Caspar Oesterheld and Emery Cooper and Miles Kodama and Linh Chi Nguyen and Ethan Perez
A dataset of questions on decision-theoretic reasoning in Newcomb-like problemsby Caspar Oesterheld, Emery Cooper, Miles…
Summary of Leveraging Large Language Models For Efficient Representation Learning For Entity Resolution, by Xiaowei Xu et al.
Leveraging large language models for efficient representation learning for entity resolutionby Xiaowei Xu, Bi T.…
Summary of Sam Decoding: Speculative Decoding Via Suffix Automaton, by Yuxuan Hu et al.
SAM Decoding: Speculative Decoding via Suffix Automatonby Yuxuan Hu, Ke Wang, Xiaokang Zhang, Fanjin Zhang,…
Summary of Amxfp4: Taming Activation Outliers with Asymmetric Microscaling Floating-point For 4-bit Llm Inference, by Janghwan Lee et al.
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inferenceby Janghwan Lee, Jiwoong…
Summary of Vmid: a Multimodal Fusion Llm Framework For Detecting and Identifying Misinformation Of Short Videos, by Weihao Zhong et al.
VMID: A Multimodal Fusion LLM Framework for Detecting and Identifying Misinformation of Short Videosby Weihao…