The article discusses a new graph knowledge distillation framework, named LinguGKD, using Large Language Models (LLMs) as teacher models and Graph Neural Networks (GNNs) as student models for knowledge distillation….
Continue readingThe article discusses the use of deep generative models in offline reinforcement learning and the computational challenges posed by their large model size. To address this, the authors propose a…
Continue readingThe article focuses on distillation-based federated learning, a collaborative learning approach that reduces the risk of privacy invasion attacks and facilitates heterogeneous learning. The authors discuss the limitations of traditional…
Continue readingThe article presents a new approach to dealing with computational limitations in developing computer vision solutions for gigapixel images in digital pathology. The authors propose a method of knowledge distillation…
Continue readingThis study revisits the issue of pruning large language models (LLMs), particularly from the BERT family, in response to the Sparsity May Cry (SMC) benchmark. The benchmark highlights the complexity…
Continue readingThe article presents a study on the issue of model collapse in peer collaborative learning (PCL). The authors analyze the high homogenization between the student and teacher as the cause…
Continue readingThe article discusses a new framework called Induction-Augmented Generation (IAG) for answering reasoning questions. This framework utilizes inductive knowledge and retrieved documents for implicit reasoning. The authors propose two versions…
Continue readingThe article discusses the challenges of high computational cost and high-dimensional representation in pre-trained language models (PLMs) for text representation. To overcome these issues, the authors propose a novel Knowledge…
Continue readingThe article presents Distil-Whisper, a distilled variant of the Whisper model for speech recognition. To address the challenges of running large models in low-latency or resource-constrained environments, the researchers used…
Continue readingThe article presents DistilWhisper, a method aimed at improving the performance of the Whisper speech model, particularly in under-represented languages. Whisper is a multilingual and multitask speech model that covers…
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