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In-Context Learning

419 directly classified papers

Papers per year

Papers

ABDN-NLP at CoMeDi Shared Task: Predicting the Aggregated Human Judgment via Weighted Few-Shot Prompting COLING 2025
Evaluating Large Language Models for In-Context Learning of Linguistic Patterns In Unseen Low Resource Languages COLING 2025
Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025
A Scalable Pipeline for Estimating Verb Frame Frequencies Using Large Language Models IJCNLP 2025
Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models NAACL 2025
MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models ICCV 2025
ReadCtrl: Personalizing text generation with readability-controlled instruction learning NAACL 2025
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs NAACL 2025
OLMES: A Standard for Language Model Evaluations NAACL 2025
Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning NAACL 2025
On the Feasibility of In-Context Probing for Data Attribution NAACL 2025
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time NAACL 2025
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning NAACL 2025
Find the Intention of Instruction: Comprehensive Evaluation of Instruction Understanding for Large Language Models 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
Investigating the Zone of Proximal Development of Language Models for In-Context Learning NAACL 2025
A Survey to Recent Progress Towards Understanding In-Context Learning NAACL 2025
SEEval: Advancing LLM Text Evaluation Efficiency and Accuracy through Self-Explanation Prompting NAACL 2025
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning NAACL 2025
Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models NAACL 2025
A Low-Shot Prompting Approach to Lemmatization in the EvaCun 2025 Shared Task NAACL 2025
Leveraging External Knowledge Bases: Analyzing Presentation Methods and Their Impact on Model Performance NAACL 2025
MNLP at PerAnsSumm: A Classifier-Refiner Architecture for Improving the Classification of Consumer Health User Responses NAACL 2025
RiOT: Efficient Prompt Refinement with Residual Optimization Tree ACL 2025