In-Context Learning

AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents ICLR 2024 Analyzing Context Contributions in LLM-based Machine Translation EMNLP 2024 An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024 A Simple Image Segmentation Framework via In-Context Examples NeurIPS 2024 AutoRef: Generating Refinements of Reviews Given Guidelines ACL 2024 Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning EMNLP 2024 Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains ACL 2024 Can Large Language Models Understand Context? EACL 2024 Can we teach language models to gloss endangered languages? EMNLP 2024 Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning ACL 2024 Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs EMNLP 2024 CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation CVPR 2024 Concept-aware Data Construction Improves In-context Learning of Language Models ACL 2024 CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024 Customizing Language Model Responses with Contrastive In-Context Learning AAAI 2024 DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models ACML 2024 DDPrompt: Differential Diversity Prompting in Large Language Models ACL 2024 Defending Jailbreak Prompts via In-Context Adversarial Game EMNLP 2024 Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning ACL 2024 DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NeurIPS 2024 DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models EMNLP 2024 Effective In-Context Example Selection through Data Compression ACL 2024 Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning ACL 2024 Empowering Multi-step Reasoning across Languages via Program-Aided Language Models EMNLP 2024 Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NeurIPS 2024