SatvikPraveen/Optimal-Demo-Selection-ICL
Implements and benchmarks optimal demonstration selection strategies for In-Context Learning (ICL) using LLMs. Covers IDS, RDES, Influence-based Selection, Se², and TopK+ConE across reasoning and classification tasks, analyzing the impact of example relevance, diversity, and ordering on model performance across multiple architectures.
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3
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Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 06, 2026
Commits (30d)
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