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Raniero Romagnoli

2 accepted papers

2025

Position Paper: MeMo: Towards Language Models with Associative Memory Mechanisms

ACL 2025finding

Memorization is a fundamental ability of Transformer-based Large Language Models, achieved through learning. In this position/theory paper, we propose a paradigm shift by designing an architecture to memorize text directly, bearing in mind the principle that memorization precedes learning. We introd…

Cited by 0SourcePDFScholar
2024

Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL translation

ACL 2024findings

Understanding textual description to generate code seems to be an achieved capability of instruction-following Large Language Models (LLMs) in zero-shot scenario. However, there is a severe possibility that this translation ability may be influenced by having seen target textual descriptions and the…

Cited by 12SourcePDFScholar