In-Context Learning

Investigating the Zone of Proximal Development of Language Models for In-Context Learning NAACL 2025 Is In-Context Learning Sufficient for Instruction Following in LLMs? ICLR 2025 It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs EMNLP 2025 Journalism-Guided Agentic In-context Learning for News Stance Detection EMNLP 2025 Label Set Optimization via Activation Distribution Kurtosis for Zero-Shot Classification with Generative Models EMNLP 2025 Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning COLING 2025 Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions EMNLP 2025 Learning from Disagreement: Entropy-Guided Few-Shot Selection for Toxic Language Detection ACL 2025 Learning to Search Effective Example Sequences for In-Context Learning NAACL 2025 Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data EMNLP 2025 Leveraging External Knowledge Bases: Analyzing Presentation Methods and Their Impact on Model Performance NAACL 2025 Lexical Semantic Change Annotation with Large Language Models NAACL 2025 Lightweight LLM Adaptation for Medical Summarisation: Roux-lette at PerAnsSumm Shared Task NAACL 2025 LLM Dependency Parsing with In-Context Rules ACL 2025 LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition EMNLP 2025 LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection ACL 2025 LLMs Protégés: Tutoring LLMs with Knowledge Gaps Improves Student Learning Outcome ACL 2025 LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data ACL 2025 MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time NAACL 2025 Mixture of In-Context Prompters for Tabular PFNs ICLR 2025 Mixtures of In-Context Learners ACL 2025 MNLP at PerAnsSumm: A Classifier-Refiner Architecture for Improving the Classification of Consumer Health User Responses NAACL 2025 Modeling the One-to-Many Property in Open-Domain Dialogue with LLMs ACL 2025 Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025 More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation IJCNLP 2025