Few-Shot Learning

ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment EMNLP 2024 Rectifying Demonstration Shortcut in In-Context Learning NAACL 2024 Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NeurIPS 2024 Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation CVPR 2024 Rethinking Skill Extraction in the Job Market Domain using Large Language Models EACL 2024 Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft EMNLP 2024 Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024 Revisiting Few-Shot Object Detection with Vision-Language Models NeurIPS 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract) AAAI 2024 RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models ACL 2024 Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024 ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling IJCAI 2024 RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress ACL 2024 RVT-2: Learning Precise Manipulation from Few Demonstrations RSS 2024 S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning COLING 2024 SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation ICLR 2024 SALMONN: Towards Generic Hearing Abilities for Large Language Models ICLR 2024 SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images WACV 2024 Scalable Meta-Learning with Gaussian Processes AISTATS 2024 Scaling Few-Shot Learning for the Open World AAAI 2024 Scaling Laws of Synthetic Images for Model Training ... for Now CVPR 2024 SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics EMNLP 2024 “Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? EMNLP 2024 Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models EMNLP 2024