most citedMoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property

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cs.LG2026

Improving Synthetic Data Generation for Argument Mining via Adversarial Reinforcement Learning

Zhijun Zhang, Qianlong Wang, Keyang Ding +5

Argument Mining (AM) is fundamentally constrained by the scarcity of high-quality structure-annotated datasets. While LLMs have shown promise in synthetic data generation, producin…