Reinforcement learning with a multi-part reward teaches LLMs to output independent, meaning-preserving sentence edits that raise argument appropriateness close to full rewriting.
FELIX : Flexible Text Editing Through Tagging and Insertion
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A RAG method with a curated lexicon enables controlled Singlish generation from standard English through sparse substitutions, matching zero-shot prompting in perceived naturalness while achieving higher semantic preservation and edit minimality.
citing papers explorer
-
Teaching LLMs Human-Like Editing of Inappropriate Argumentation via Reinforcement Learning
Reinforcement learning with a multi-part reward teaches LLMs to output independent, meaning-preserving sentence edits that raise argument appropriateness close to full rewriting.
-
From Standard English to Singlish: A Retrieval-Augmented Approach for Code-Switched Creole Generation in Large Language Models
A RAG method with a curated lexicon enables controlled Singlish generation from standard English through sparse substitutions, matching zero-shot prompting in perceived naturalness while achieving higher semantic preservation and edit minimality.