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TitleStatusHype
Disease Entity Recognition and Normalization is Improved with Large Language Model Derived Synthetic Normalized Mentions—0
Disentangling Homophemes in Lip Reading using Perplexity Analysis—0
Disentangling Knowledge Representations for Large Language Model Editing—0
Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning—0
Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model—0
Disney at IEST 2018: Predicting Emotions using an Ensemble—0
Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion—0
Distant-supervised Language Model for Detecting Emotional Upsurge on Twitter—0
Distillation Strategies for Discriminative Speech Recognition Rescoring—0
Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition—0
Distilling Event Sequence Knowledge From Large Language Models—0
Distilling Knowledge from Pre-trained Language Models via Text Smoothing—0
Distilling Relation Embeddings from Pretrained Language Models—0
Distilling Relation Embeddings from Pre-trained Language Models—0
Distilling the Knowledge of BERT for CTC-based ASR—0
Distilling Vision-Language Models on Millions of Videos—0
Distil-xLSTM: Learning Attention Mechanisms through Recurrent Structures—0
Distinguishing Human Generated Text From ChatGPT Generated Text Using Machine Learning—0
Distortion-free Watermarks are not Truly Distortion-free under Watermark Key Collisions—0
Distraction is All You Need for Multimodal Large Language Model Jailbreaking—0
Distributed Fine-tuning of Language Models on Private Data—0
Distributed representation and estimation of WFST-based n-gram models—0
Distributed Representation for Traditional Chinese Medicine Herb via Deep Learning Models—0
Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach—0
Distributionally Robust Recurrent Decoders with Random Network Distillation—0
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