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In-Context Learning

38 directly classified papers

Papers per year

Papers

Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models EMNLP 2025
Rapid Word Learning Through Meta In-Context Learning EMNLP 2025
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions EMNLP 2025
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning NAACL 2025
DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph ACL 2025
DeAL: Decoding-time Alignment for Large Language Models ACL 2025
Mixtures of In-Context Learners ACL 2025
FoodTaxo: Generating Food Taxonomies with Large Language Models ACL 2025
Revisiting In-Context Learning with Long Context Language Models ACL 2025
CogStack-KCL-UCL at ArchEHR-QA 2025: Investigating Hybrid LLM Approaches for Grounded Clinical Question Answering ACL 2025
Multilabel Classification of Persuasion Techniques with self-improving LLM agent: SlavicNLP 2025 Shared Task ACL 2025
RL + Transformer = A General-Purpose Problem Solver ACL 2025
Self-Evolving Visual Concept Library using Vision-Language Critics CVPR 2025
LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition EMNLP 2025
SOCIAL SCAFFOLDS: A Generalization Framework for Social Understanding Tasks EMNLP 2025
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment EMNLP 2024
Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama EACL 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning NIPS 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection NIPS 2024
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context NIPS 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NIPS 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers NIPS 2024
LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law EMNLP 2024
Demonstration Selection Strategies for Numerical Time Series Data-to-Text EMNLP 2024
In-Context Learning with Iterative Demonstration Selection EMNLP 2024