In-Context Learning

Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective ICLR 2025 Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning ICLR 2025 Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting ICLR 2025 Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs NAACL 2025 Factors affecting the in-context learning abilities of LLMs for dialogue state tracking Interspeech 2025 Howard University-AI4PC at SemEval-2025 Task 8: DeepTabCoder - Code-based Retrieval and In-context Learning for Question-Answering over Tabular Data SemEval 2025 How Well Can Transformers Emulate In-Context Newton’s Method? AISTATS 2025 In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts Interspeech 2025 PALI-NLP at SemEval 2025 Task 1: Multimodal Idiom Recognition and Alignment SemEval 2025 Provable Benefits of Task-Specific Prompts for In-context Learning AISTATS 2025 Superiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression AISTATS 2025 Transformers are Provably Optimal In-context Estimators for Wireless Communications AISTATS 2025 Unsupervised Meta-Learning via In-Context Learning ICLR 2025 What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization AISTATS 2025 XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning ICLR 2025 CausalLM is not optimal for in-context learning ICLR 2024 Function Vectors in Large Language Models ICLR 2024 The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning ICLR 2024 kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference ICLR 2023 Exploring Diverse In-Context Configurations for Image Captioning NeurIPS 2023 Grammar Prompting for Domain-Specific Language Generation with Large Language Models NeurIPS 2023 Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment ACL 2023 Prototypical Calibration for Few-shot Learning of Language Models ICLR 2023 Selective Annotation Makes Language Models Better Few-Shot Learners ICLR 2023 Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers ACL 2023