ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach Mar 21, 2025 Conversation Summarization Few-Shot Learning
— Unverified Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models Mar 20, 2025 Few-Shot Learning In-Context Learning
Code Code Available Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification Mar 19, 2025 Diagnostic Few-Shot Learning
— Unverified Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis Mar 19, 2025 Few-Shot Learning Image Generation
— Unverified Riemannian Geometric-based Meta Learning Mar 14, 2025 Few-Shot Learning Meta-Learning
— Unverified Optimizing Large Language Models for Detecting Symptoms of Comorbid Depression or Anxiety in Chronic Diseases: Insights from Patient Messages Mar 14, 2025 Binary Classification Few-Shot Learning
— Unverified DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Mar 12, 2025 Diversity Few-Shot Learning
Code Code Available Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity Mar 12, 2025 Deep Learning Few-Shot Learning
— Unverified From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning Mar 8, 2025 3D Object Detection Autonomous Driving
— Unverified Evaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model Mar 8, 2025 Few-Shot Learning Language Modeling
— Unverified Memory Is All You Need: Testing How Model Memory Affects LLM Performance in Annotation Tasks Mar 6, 2025 All Few-Shot Learning
— Unverified Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching Mar 5, 2025 Data Augmentation Few-Shot Learning
— Unverified Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development Mar 4, 2025 feature selection Few-Shot Learning
— Unverified Malware Classification from Memory Dumps Using Machine Learning, Transformers, and Large Language Models Mar 4, 2025 Deep Learning feature selection
— Unverified Frankenstein Optimizer: Harnessing the Potential by Revisiting Optimization Tricks Mar 4, 2025 Few-Shot Learning
Code Code Available ExpertGenQA: Open-ended QA generation in Specialized Domains Mar 4, 2025 Diversity Few-Shot Learning
— Unverified Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models Mar 4, 2025 Few-Shot Learning Model Selection
— Unverified Enhancing Multi-hop Reasoning in Vision-Language Models via Self-Distillation with Multi-Prompt Ensembling Mar 3, 2025 Answer Generation Computational Efficiency
— Unverified Diversity Covariance-Aware Prompt Learning for Vision-Language Models Mar 3, 2025 Diversity Few-Shot Learning
— Unverified Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos Mar 2, 2025 Anomaly Detection Few-Shot Learning
— Unverified Learning to Animate Images from A Few Videos to Portray Delicate Human Actions Mar 1, 2025 Decoder Few-Shot Learning
— Unverified LADs: Leveraging LLMs for AI-Driven DevOps Feb 28, 2025 Few-Shot Learning Retrieval-augmented Generation
— Unverified Large Language Models as Attribution Regularizers for Efficient Model Training Feb 27, 2025 Few-Shot Learning
Code Code Available Few-Shot Multilingual Open-Domain QA from 5 Examples Feb 27, 2025 Few-Shot Learning Open-Domain Question Answering
Code Code Available An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning Feb 22, 2025 ARC Continual Learning
— Unverified A Similarity Paradigm Through Textual Regularization Without Forgetting Feb 20, 2025 Domain Generalization Few-Shot Learning
— Unverified Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks Feb 19, 2025 Few-Shot Learning Graph Learning
Code Code Available Retrieving Versus Understanding Extractive Evidence in Few-Shot Learning Feb 19, 2025 Few-Shot Learning Language Modeling
— Unverified UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery Feb 18, 2025 Drug Discovery Few-Shot Learning
Code Code Available RM-PoT: Reformulating Mathematical Problems and Solving via Program of Thoughts Feb 18, 2025 Few-Shot Learning
— Unverified Do we still need Human Annotators? Prompting Large Language Models for Aspect Sentiment Quad Prediction Feb 18, 2025 Aspect-Based Sentiment Analysis (ABSA) Few-Shot Learning
Code Code Available RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars Feb 17, 2025 Few-Shot Learning In-Context Learning
Code Code Available SEM-CLIP: Precise Few-Shot Learning for Nanoscale Defect Detection in Scanning Electron Microscope Image Feb 15, 2025 Defect Detection Feature Engineering
— Unverified A Hybrid Model for Few-Shot Text Classification Using Transfer and Meta-Learning Feb 13, 2025 Few-Shot Learning Few-Shot Text Classification
— Unverified Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models Feb 12, 2025 Few-Shot Learning Large Language Model
Code Code Available A Flag Decomposition for Hierarchical Datasets Feb 11, 2025 Clustering Denoising
Code Code Available 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 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 An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification 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 Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs Jan 31, 2025 Few-Shot Learning In-Context Learning
— Unverified Memory-Efficient Fine-Tuning of Transformers via Token Selection Jan 31, 2025 Few-Shot Learning Question Answering
Code Code Available 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 