Papers by Keren Tan

1 papers
An LLM-Enhanced Adversarial Editing System for Lexical Simplification (2024.lrec-main)

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Challenge: Existing methods to simplify text rely heavily on annotated data, making it challenging to apply in low-resource scenarios.
Approach: They propose a Lexical Simplification method without parallel corpora that uses an Adversarial Editing System and an LLM-enhanced loss to distill knowledge into a small-size LS system.
Outcome: The proposed method uses an LLM-enhanced loss to distill knowledge from Large Language Models (LLMs) into a small-size LS system.

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