In-Context Learning

In-Context Learning with Representations: Contextual Generalization of Trained Transformers NeurIPS 2024 In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness NeurIPS 2024 In-Context Matting CVPR 2024 Inference and Verbalization Functions During In-Context Learning EMNLP 2024 InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning CVPR 2024 Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis ACL 2024 Intent Detection in the Age of LLMs EMNLP 2024 Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024 Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models EMNLP 2024 Language-to-Code Translation with a Single Labeled Example EMNLP 2024 Large Language Models are In-context Teachers for Knowledge Reasoning EMNLP 2024 Large Vision-Language Models as Emotion Recognizers in Context Awareness ACML 2024 Latent Learningscape Guided In-context Learning ACL 2024 Learning to Retrieve Iteratively for In-Context Learning EMNLP 2024 Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding EMNLP 2024 Linear Transformers are Versatile In-Context Learners NeurIPS 2024 Link-Context Learning for Multimodal LLMs CVPR 2024 LLM as a metric critic for low resource relation identification EMNLP 2024 LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks EMNLP 2024 LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024 Many-Shot In-Context Learning NeurIPS 2024 Mixture of Demonstrations for In-Context Learning NeurIPS 2024 Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NeurIPS 2024 Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs ACL 2024 MoReVQA: Exploring Modular Reasoning Models for Video Question Answering CVPR 2024