Few-Shot Learning

Efficient Prompt Optimization Through the Lens of Best Arm Identification NeurIPS 2024 Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models AAAI 2024 E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator CVPR 2024 EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records NeurIPS 2024 EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM NAACL 2024 ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation IJCAI 2024 EmFORE: Learning Email Folder Classification Rules by Demonstration AAAI 2024 EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction NAACL 2024 Emu Edit: Precise Image Editing via Recognition and Generation Tasks CVPR 2024 Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer ICML 2024 Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods COLING 2024 Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models EMNLP 2024 Enhancing Lexical Complexity Prediction through Few-shot Learning with Gpt-3 COLING 2024 Enhancing Low-Resource LLMs Classification with PEFT and Synthetic Data COLING 2024 Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition EMNLP 2024 Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection NeurIPS 2024 ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024 Evaluation of Really Good Grammatical Error Correction COLING 2024 Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling ECCV 2024 Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting IJCAI 2024 Exploring Factual Entailment with NLI: A News Media Study NAACL 2024 Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation NAACL 2024 Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers across Diseases COLING 2024 Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy EMNLP 2024 FaiMA: Feature-aware In-context Learning for Multi-domain Aspect-based Sentiment Analysis COLING 2024