One Size Doesn't Fit All: Predicting the Number of Examples for In-Context Learning.

@inproceedings{chandra-2025-one, author = {Manish Chandra and Debasis Ganguly and Iadh Ounis}, editor = {Claudia Hauff and Craig Macdonald and Dietmar Jannach and Gabriella Kazai and Franco Maria Nardini and Fabio Pinelli and Fabrizio Silvestri and Nicola Tonellotto}, title = {{One Size Doesn't Fit All: Predicting the Number of Examples for In-Context Learning}}, booktitle = {{Advances in Information Retrieval - 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {15572}, pages = {67--84}, publisher = {Springer}, year = {2025}, url = {https://doi.org/10.1007/978-3-031-88708-6_5}, doi = {https://doi.org/10.1007/978-3-031-88708-6_5} }