in-context learning

ChatEL: Entity Linking with Chatbots COLING 2024 C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024 CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification ACL 2024 CLiC: Concept Learning in Context CVPR 2024 Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs EMNLP 2024 Code-Style In-Context Learning for Knowledge-Based Question Answering AAAI 2024 CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation CVPR 2024 CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions NAACL 2024 Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective ACL 2024 Compositional Text-to-Image Generation with Dense Blob Representations ICML 2024 Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024 ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context AAAI 2024 Context-Aware Meta-Learning ICLR 2024 Context is Environment ICLR 2024 COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning Interspeech 2024 CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024 Crafting In-context Examples according to LMs’ Parametric Knowledge NAACL 2024 CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping ICLR 2024 CrossTune: Black-Box Few-Shot Classification with Label Enhancement COLING 2024 Customizing Language Model Responses with Contrastive In-Context Learning AAAI 2024 CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment ACL 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning NeurIPS 2024 DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models ACML 2024 DDPrompt: Differential Diversity Prompting in Large Language Models ACL 2024 Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations ACL 2024