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Papers
Efficient and Effective In-context Demonstration Selection with Coreset
AAAI 2026
Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective
AAAI 2026
Comparative Analysis of Demonstration Selection Algorithms for In-Context Learning in Large Language Models (Student Abstract)
AAAI 2025
Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer’s Disease Detection
ACL 2025
Demonstration Selection for In-Context Learning via Reinforcement Learning
ICML 2025
D.Va: Validate Your Demonstration First Before You Use It
ACL 2025
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
AAAI 2025
Learning to Select In-Context Demonstration Preferred by Large Language Model
ACL 2025
Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation
ACL 2025
Linear-Time Demonstration Selection for In-Context Learning via Gradient Estimation
EMNLP 2025
Mixtures of In-Context Learners
ACL 2025
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning
CVPR 2025
Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering
ICLR 2025
Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning
EMNLP 2025
RUIE: Retrieval-based Unified Information Extraction using Large Language Model
COLING 2025
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
ACL 2025
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning
EMNLP 2025
UniICL: An Efficient ICL Framework Unifying Compression, Selection, and Generation
ACL 2025
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
ACL 2025
Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning
EMNLP 2025
Demonstration Selection Strategies for Numerical Time Series Data-to-Text
EMNLP 2024
How to Configure Good In-Context Sequence for Visual Question Answering
CVPR 2024
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
EMNLP 2024
In-Context Compositional Generalization for Large Vision-Language Models
EMNLP 2024
In-Context Learning with Iterative Demonstration Selection
EMNLP 2024