← Learning Types
Machine Learning › Learning Types ›

In-Context Learning

419 directly classified papers

Papers per year

Papers

Beyond Semantics: How Temporal Biases Shapes Retrieval in Transformer and State-Space Models EACL 2026
Investigating the Zone of Proximal Development of Language Models for In-Context Learning NAACL 2025
An Analysis of the Impact of Problem Paraphrasing on LLM-Based Mathematical Problem Solving IJCNLP 2025
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning NAACL 2025
Learning to Search Effective Example Sequences for In-Context Learning NAACL 2025
Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis NAACL 2025
Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting COLING 2025
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs NAACL 2025
Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning NAACL 2025
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time NAACL 2025
In-context Learning Demonstration Generation with Text Distillation IJCAI 2025
Evaluating Large Language Models for In-Context Learning of Linguistic Patterns In Unseen Low Resource Languages COLING 2025
ABDN-NLP at CoMeDi Shared Task: Predicting the Aggregated Human Judgment via Weighted Few-Shot Prompting COLING 2025
A Scalable Pipeline for Estimating Verb Frame Frequencies Using Large Language Models IJCNLP 2025
OLMES: A Standard for Language Model Evaluations NAACL 2025
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation IJCNLP 2025
Don’t Take it Literally! Idiom-aware Vietnamese Translation via In-context Learning IJCNLP 2025
Task-Aligned Tool Recommendation for Large Language Models IJCNLP 2025
More Than a Score: Probing the Impact of Prompt Specificity on LLM Code Generation IJCNLP 2025
No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning. IJCNLP 2025
Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning IJCNLP 2025
On the Feasibility of In-Context Probing for Data Attribution NAACL 2025
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation COLING 2025
UCTG: A Unified Controllable Text Generation Framework for Query Auto-Completion COLING 2025
Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models NAACL 2025