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Jinlong Shu

2 accepted papers

2025

Let’s Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models

ACL 2025finding

While Chain of Thought (CoT) prompting approaches have significantly consolidated the reasoning capabilities of large language models (LLMs), they still face limitations that require extensive human effort or have performance needs to be improved. Existing endeavors have focused on bridging these ga…

Cited by 0SourcePDFScholar
2024

An LLM-Enhanced Adversarial Editing System for Lexical Simplification

COLING 2024main

Lexical Simplification (LS) aims to simplify text at the lexical level. Existing methods rely heavily on annotated data, making it challenging to apply in low-resource scenarios. In this paper, we propose a novel LS method without parallel corpora. This method employs an Adversarial Editing System w…

Cited by 5SourcePDFScholar