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cs.CL2024
Task Oriented In-Domain Data Augmentation
Xiao Liang, Xinyu Hu, Simiao Zuo +5
Large Language Models (LLMs) have shown superior performance in various applications and fields. To achieve better performance on specialized domains such as law and advertisement,…
cs.CL2024★ 1 cited
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning
Yanda Chen, Chandan Singh, Xiaodong Liu +4
Large language models (LLMs) often generate convincing, fluent explanations. However, different from humans, they often generate inconsistent explanations on different inputs. For…