Improving Synthetic Data Generation for Argument Mining via Adversarial Reinforcement Learning

arXiv:2610.07699 · cs.LG, cs.CL · Submitted 2026-10-06 · Read on arXiv

cs.LG, cs.CL

Submitted: 2026-10-06

Updated: 2026-10-06

Comments: Accepted to Findings of EMNLP 2026

Code: https://github.com/ZhangZJ-GH/Synthetic-Data-for-Argument-Mining

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes

Sources

• Longformer: The Long-Document Transformer
• Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
• Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models
• graph2vec: Learning Distributed Representations of Graphs
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• LRHP: Learning Representations for Human Preferences via Preference Pairs
• Qwen3 Technical Report

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