Few-Shot Learning

A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrieval EMNLP 2024 Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation IJCAI 2024 A Hard Nut to Crack: Idiom Detection with Conversational Large Language Models NAACL 2024 A Hierarchical Bayesian Model for Few-Shot Meta Learning ICLR 2024 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks ALT 2024 A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection NAACL 2024 A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation COLING 2024 AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning CVPR 2024 AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies EMNLP 2024 An Automatic Prompt Generation System for Tabular Data Tasks NAACL 2024 An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning NeurIPS 2024 An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024 An Information-Theoretic Analysis of In-Context Learning ICML 2024 AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports COLING 2024 AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators NAACL 2024 Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts COLING 2024 AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models AAAI 2024 A Novel Three-stage Framework for Few-shot Named Entity Recognition COLING 2024 A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation NeurIPS 2024 AnyTrans: Translate AnyText in the Image with Large Scale Models EMNLP 2024 Any-Way Meta Learning AAAI 2024 A One-Shot Learning Approach To Document Layout Segmentation of Ancient Arabic Manuscripts WACV 2024 APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching NAACL 2024 Approaching Human-Level Forecasting with Language Models NeurIPS 2024