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In-Context Learning

419 directly classified papers

Papers per year

Papers

On the Role of Model Prior in Real-World Inductive Reasoning EMNLP 2025
Thought calibration: Efficient and confident test-time scaling EMNLP 2025
STARE at the Structure: Steering ICL Exemplar Selection with Structural Alignment EMNLP 2025
Journalism-Guided Agentic In-context Learning for News Stance Detection EMNLP 2025
Multi-perspective Analysis of Large Language Model Domain Specialization: An Experiment in Accounting Audit Procedures Generation EMNLP 2025
UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging EMNLP 2025
CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025
s1: Simple test-time scaling EMNLP 2025
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation EMNLP 2025
Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning EMNLP 2025
Surprise Calibration for Better In-Context Learning EMNLP 2025
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024
A Survey on In-context Learning EMNLP 2024
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness NIPS 2024
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models EMNLP 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning NIPS 2024
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization NIPS 2024
In-Context Learning with Representations: Contextual Generalization of Trained Transformers NIPS 2024
In-Context Matting CVPR 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NIPS 2024
Mixture of Demonstrations for In-Context Learning NIPS 2024
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context NIPS 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness NIPS 2024
Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning EACL 2024