few-shot learning

SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification WACV 2024 SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation ACL 2024 SLiMe: Segment Like Me ICLR 2024 Small Language Models Improve Giants by Rewriting Their Outputs EACL 2024 SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation CVPR 2024 Sociocultural knowledge is needed for selection of shots in hate speech detection tasks EACL 2024 SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024 Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation ICLR 2024 SportQA: A Benchmark for Sports Understanding in Large Language Models NAACL 2024 Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes AAAI 2024 StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation EMNLP 2024 STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models AAAI 2024 Still All Greeklish to Me: Greeklish to Greek Transliteration COLING 2024 Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations EMNLP 2024 Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning AAAI 2024 Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations EMNLP 2024 STSPL-SSC: Semi-Supervised Few-Shot Short Text Clustering with Semantic text similarity Optimized Pseudo-Labels ACL 2024 SWE-bench: Can Language Models Resolve Real-world Github Issues? ICLR 2024 SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution ACL 2024 Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction AAAI 2024 Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems EMNLP 2024 SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking EACL 2024 Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning NAACL 2024 Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition EMNLP 2024 Target-Adaptive Consistency Enhanced Prompt-Tuning for Multi-Domain Stance Detection COLING 2024