3 papers
cs.CL2024
Are LLM-based Evaluators Confusing NLG Quality Criteria?
Xinyu Hu, Mingqi Gao, Sen Hu +4
Some prior work has shown that LLMs perform well in NLG evaluation for different tasks. However, we discover that LLMs seem to confuse different evaluation criteria, which reduces…
cs.CL2023
S2M: Converting Single-Turn to Multi-Turn Datasets for Conversational Question Answering
Baokui Li, Sen Zhang, Wangshu Zhang +6
Supplying data augmentation to conversational question answering (CQA) can effectively improve model performance. However, there is less improvement from single-turn datasets in CQ…
cs.LG2023
AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation
Junjie Wang, Yicheng Chen, Wangshu Zhang +3
Leveraging knowledge from multiple tasks through introducing a small number of task specific parameters into each transformer layer, also known as adapters, receives much attention…