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Vaclav Petricek

2 accepted papers

2024

Evolutionary Contrastive Distillation for Language Model Alignment

EMNLP 2024finding

The ability of large language models (LLMs) to execute complex instructions is essential for their real-world applications. However, several recent studies indicate that LLMs struggle with challenging instructions. In this paper, we propose Evolutionary Contrastive Distillation (ECD), a novel method…

2022

Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores

NAACL 2022industry

Extreme multi-label classification (XMC) systems have been successfully applied in e-commerce (Shen et al., 2020; Dahiya et al., 2021) for retrieving products based on customer behavior. Such systems require large amounts of customer behavior data (e.g. queries, clicks, purchases) for training. Howe…

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