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Showing 651–675 of 2094 papers

TitleStatusHype
Stable Attractors for Neural networks classification via Ordinary Differential Equations (SA-nODE)Code0
Hijacking Large Language Models via Adversarial In-Context LearningCode0
Uncertainty Estimation on Sequential Labeling via Uncertainty TransmissionCode0
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations—0
Automated title and abstract screening for scoping reviews using the GPT-4 Large Language ModelCode0
Finding and Editing Multi-Modal Neurons in Pre-Trained TransformersCode1
On Elastic Language Models—0
Large Language Models are In-context Teachers for Knowledge Reasoning—0
A design of Convolutional Neural Network model for the Diagnosis of the COVID-19—0
Testing LLMs on Code Generation with Varying Levels of Prompt Specificity—0
The AeroSonicDB (YPAD-0523) Dataset for Acoustic Detection and Classification of AircraftCode0
Parkinson's Disease Detection through Vocal Biomarkers and Advanced Machine Learning Algorithms—0
Deep learning in computed tomography pulmonary angiography imaging: a dual-pronged approach for pulmonary embolism detection—0
FibroVit—Vision transformer-based framework for detection and classification of pulmonary fibrosis from chest CT imagesCode0
GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge IntegrationCode1
Basis restricted elastic shape analysis on the space of unregistered surfaces—0
The context-specificity of virulence evolution revealed through evolutionary invasion analysis—0
Rotation Invariant Transformer for Recognizing Object in UAVsCode1
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols—0
The R.O.A.D. to precision medicine—0
Data-Free Distillation of Language Model by Text-to-Text Transfer—0
Causal Structure Representation Learning of Confounders in Latent Space for RecommendationCode0
TopicGPT: A Prompt-based Topic Modeling FrameworkCode2
The Behavior of Large Language Models When Prompted to Generate Code Explanations—0
Bridging the Gap: Addressing Discrepancies in Diffusion Model Training for Classifier-Free Guidance—0
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