Few-Shot Learning

Self-Supervised Embeddings for Detecting Individual Symptoms of Depression Interspeech 2024 Semantically-Prompted Language Models Improve Visual Descriptions NAACL 2024 Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting EACL 2024 Sentiment Analysis in the Era of Large Language Models: A Reality Check NAACL 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models NeurIPS 2024 SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection SemEval 2024 Simple Semantic-Aided Few-Shot Learning CVPR 2024 SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation ACL 2024 SJTU System Description for the WMT24 Low-Resource Languages of Spain Task EMNLP 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 Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation ICLR 2024 SportQA: A Benchmark for Sports Understanding in Large Language Models NAACL 2024 Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data ICLR 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 Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations EMNLP 2024 Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations EMNLP 2024 Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming AAAI 2024 SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 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