Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement Feb 10, 2025 Binary Classification Decision Making
Code Code Available WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch Feb 9, 2025 Data Augmentation Few-Shot Learning
— Unverified Transforming Multimodal Models into Action Models for Radiotherapy Feb 6, 2025 Anatomy Few-Shot Learning
— Unverified OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds Feb 5, 2025 Few-Shot Learning Imitation Learning
— Unverified RoboGrasp: A Universal Grasping Policy for Robust Robotic Control Feb 5, 2025 Few-Shot Learning Imitation Learning
— Unverified An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification Feb 4, 2025 Few-Shot Learning
— Unverified FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework Feb 4, 2025 Entity Disambiguation Few-Shot Learning
Code Code Available Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Media Feb 4, 2025 Few-Shot Learning
— Unverified Learning to Learn Weight Generation via Local Consistency Diffusion Feb 3, 2025 Domain Generalization Few-Shot Learning
— Unverified Memory-Efficient Fine-Tuning of Transformers via Token Selection Jan 31, 2025 Few-Shot Learning Question Answering
Code Code Available Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs Jan 31, 2025 Few-Shot Learning In-Context Learning
— Unverified ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks Jan 30, 2025 Brain Computer Interface Classification
— Unverified Unraveling the Capabilities of Language Models in News Summarization Jan 30, 2025 Benchmarking Few-Shot Learning
Code Code Available Distilling Large Language Models for Network Active Queue Management Jan 28, 2025 Few-Shot Learning Management
— Unverified One Head Eight Arms: Block Matrix based Low Rank Adaptation for CLIP-based Few-Shot Learning Jan 28, 2025 Few-Shot Learning GPU
— Unverified AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Jan 28, 2025 Few-Shot Learning Few-Shot Semantic Segmentation
— Unverified Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks Jan 28, 2025 Few-Shot Learning Self-Supervised Learning
— Unverified Closed-Form Feedback-Free Learning with Forward Projection Jan 27, 2025 Few-Shot Learning Form
Code Code Available SampleLLM: Optimizing Tabular Data Synthesis in Recommendations Jan 27, 2025 Few-Shot Learning Recommendation Systems
— Unverified Evaluating Data Influence in Meta Learning Jan 27, 2025 Bilevel Optimization Computational Efficiency
— Unverified Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification Jan 25, 2025 Few-Shot Learning parameter-efficient fine-tuning
— Unverified A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education Jan 24, 2025 Few-Shot Learning Language Modeling
Code Code Available Geometric Mean Improves Loss For Few-Shot Learning Jan 24, 2025 Few-Shot Image Classification Few-Shot Learning
— Unverified Evaluating and Improving Graph to Text Generation with Large Language Models Jan 24, 2025 Diversity Few-Shot Learning
Code Code Available CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Jan 24, 2025 Clustering Few-Shot Learning
— Unverified Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs Jan 23, 2025 Diagnostic Few-Shot Learning
— Unverified Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models Jan 23, 2025 Few-Shot Learning In-Context Learning
— Unverified Text-driven Online Action Detection Jan 23, 2025 Action Detection Autonomous Driving
Code Code Available Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Jan 23, 2025 Data Augmentation Domain Adaptation
— Unverified Rethinking the Sample Relations for Few-Shot Classification Jan 23, 2025 Classification Contrastive Learning
Code Code Available Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples Jan 22, 2025 Few-Shot Learning image-classification
— Unverified Patent Figure Classification using Large Vision-language Models Jan 22, 2025 Classification Few-Shot Learning
Code Code Available MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis Jan 22, 2025 Cancer Classification Computed Tomography (CT)
Code Code Available Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking Jan 18, 2025 Binary Classification Fact Checking
— Unverified ACE: Anatomically Consistent Embeddings in Composition and Decomposition Jan 17, 2025 Few-Shot Learning Image Cropping
Code Code Available Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Jan 16, 2025 Contrastive Learning Few-Shot Learning
— Unverified I Can Find You in Seconds! Leveraging Large Language Models for Code Authorship Attribution Jan 14, 2025 Adversarial Robustness Attribute
— Unverified LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking Jan 14, 2025 Autonomous Driving Decision Making
Code Code Available An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering Jan 12, 2025 Few-Shot Learning In-Context Learning
— Unverified A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Jan 12, 2025 Binary Classification Diagnostic
— Unverified Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Jan 10, 2025 Few-Shot Learning
Code Code Available ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms Jan 8, 2025 Few-Shot Learning
— Unverified Hidden Entity Detection from GitHub Leveraging Large Language Models Jan 8, 2025 Few-Shot Learning named-entity-recognition
Code Code Available RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network Jan 6, 2025 3D Object Classification Few-Shot Learning
— Unverified Holistic Semantic Representation for Navigational Trajectory Generation Jan 6, 2025 Few-Shot Learning Zero-Shot Learning
Code Code Available Generalization-Enhanced Few-Shot Object Detection in Remote Sensing Jan 5, 2025 Few-Shot Learning Few-Shot Object Detection
Code Code Available Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations Jan 3, 2025 Few-Shot Learning Language Modeling
— Unverified Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization Jan 3, 2025 Few-Shot Learning Meta-Learning
— Unverified ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning Jan 2, 2025 Fairness Few-Shot Learning
— Unverified State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects Jan 2, 2025 Benchmarking Face Swapping
— Unverified 