A single LoRA fine-tuned Llama-3.1-8B-Instruct model trained jointly on eight argument-mining tasks across 19 datasets matches or beats task-specific models, and merged models offer a cheaper compromise.
Sets of attacking arguments for inconsistent datalog knowledge bases
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AMELIA: A Family of Multi-task End-to-end Language Models for Argumentation
A single LoRA fine-tuned Llama-3.1-8B-Instruct model trained jointly on eight argument-mining tasks across 19 datasets matches or beats task-specific models, and merged models offer a cheaper compromise.