activity
20232026
most citedParameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing

9 citations · 10 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

2 papers · 1 filter

cs.CL2024

MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation

Yu Li, Shenyu Zhang, Rui Wu +5

Recent advancements in generative Large Language Models(LLMs) have been remarkable, however, the quality of the text generated by these models often reveals persistent issues. Eval…

cs.CL2024★ 1 cited

DEE: Dual-stage Explainable Evaluation Method for Text Generation

Shenyu Zhang, Yu Li, Rui Wu +4

Automatic methods for evaluating machine-generated texts hold significant importance due to the expanding applications of generative systems. Conventional methods tend to grapple w…