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Kiran Purohit

2 accepted papers

2025

Sample Efficient Demonstration Selection for In-Context Learning

ICML 2025poster

The in-context learning paradigm with LLMs has been instrumental in advancing a wide range of natural language processing tasks. The selection of few-shot examples (exemplars / demonstration samples) is essential for constructing effective prompts under context-length budget constraints. In this pap…

2024

EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning

EMNLP 2024main

Answering reasoning-based complex questions over text and hybrid sources, including tables, is a challenging task. Recent advances in large language models (LLMs) have enabled in-context learning (ICL), allowing LLMs to acquire proficiency in a specific task using only a few demonstration samples (e…