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Prayas Agrawal

3 accepted papers

2026

Minibatch selection for Language Models via Partition Matroid Constrained Gradient Matching

ICML 2026poster

Training Large Language Models (LLMs) on heterogeneous datasets requires optimizing domain representations to balance convergence speed and domain coverage. While recent methods reduce computational overhead by selecting high-quality data subsets, they typically perform selection independently per d…

Cited by 0SourceScholar
2025

Bandit Guided Submodular Curriculum for Adaptive Subset Selection

NeurIPS 2025poster

Traditional curriculum learning proceeds from easy to hard samples, yet defining a reliable notion of difficulty remains elusive. Prior work has used submodular functions to induce difficulty scores in curriculum learning. We reinterpret adaptive subset selection and formulate it as a multi-armed ba…

Cited by 0SourcecodeScholar
2025

Dense Retrieval with Quantity Comparison Intent

ACL 2025finding

Pre-trained language models (PLMs) fragment numerals and units that express quantities in arbitrary ways, depending on their subword vocabulary. Consequently, they are unable to contextualize the fragment embeddings well enough to be proficient with dense retrieval in domains like e-commerce and fin…

Cited by 0SourcePDFScholar