Papers by Éric Clergerie

2 papers
PatentEval: Understanding Errors in Patent Generation (2024.naacl-long)

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Challenge: a patent is a legal instrument that grants inventors or entities exclusive rights over their invention for a designated period.
Approach: They propose a typology specifically designed for evaluating two distinct tasks in machine-generated patent texts.
Outcome: The proposed approach provides valuable insights into the capabilities and limitations of current language models in the specialized field of patent text generation.
Anisotropy Is Inherent to Self-Attention in Transformers (2024.eacl-long)

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Challenge: despite their success, Transformers models suffer from a representation degeneration problem . anisotropy is a property of hidden representations that makes them unexpectedly close to each other .
Approach: They investigate the representation degeneration problem in a self-supervised learning model based on Transformers . anisotropy is a property of hidden representations which makes them unexpectedly close to each other .
Outcome: The representation degeneration problem is a phenomenon widely observed among self-supervised learning methods based on Transformers.

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