in-context learning

Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer CVPR 2024 Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning NeurIPS 2024 Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios NAACL 2024 Multi-Task Transfer Matters During Instruction-Tuning ACL 2024 MVBench: A Comprehensive Multi-modal Video Understanding Benchmark CVPR 2024 Naive Bayes-based Context Extension for Large Language Models NAACL 2024 Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model AAAI 2024 Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles NAACL 2024 Natural Language-centered Inference Network for Multi-modal Fake News Detection IJCAI 2024 Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future ACL 2024 Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs) COLING 2024 NICE: To Optimize In-Context Examples or Not? ACL 2024 NoiseGPT: Label Noise Detection and Rectification through Probability Curvature NeurIPS 2024 Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination EMNLP 2024 OLIVE: Object Level In-Context Visual Embeddings ACL 2024 One For All: Towards Training One Graph Model For All Classification Tasks ICLR 2024 One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NeurIPS 2024 One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts ICML 2024 One-Shot Prompt for Language Variety Identification NAACL 2024 One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention ICLR 2024 On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability NeurIPS 2024 On Retrieval Augmentation and the Limitations of Language Model Training NAACL 2024 On Scaling Up a Multilingual Vision and Language Model CVPR 2024 On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024 On-the-Fly Fusion of Large Language Models and Machine Translation NAACL 2024