In-Context Learning

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NeurIPS 2024 Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama EACL 2024 Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently EMNLP 2024 Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024 EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning EMNLP 2024 Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024 Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models EMNLP 2024 FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024 Focused Large Language Models are Stable Many-Shot Learners EMNLP 2024 Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning EMNLP 2024 Generative Multimodal Models are In-Context Learners CVPR 2024 GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network ACL 2024 How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? EMNLP 2024 How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning EMNLP 2024 How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment EMNLP 2024 How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering ACL 2024 How to Configure Good In-Context Sequence for Visual Question Answering CVPR 2024 ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer ACL 2024 Identifying Semantic Induction Heads to Understand In-Context Learning ACL 2024 Improving Automatic VQA Evaluation Using Large Language Models AAAI 2024 Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning EMNLP 2024 Improving In-Context Learning with Prediction Feedback for Sentiment Analysis ACL 2024 Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction COLING 2024 In-Context Compositional Generalization for Large Vision-Language Models EMNLP 2024 In-context Exploration-Exploitation for Reinforcement Learning ICLR 2024