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cs.CL2023
LM-Cocktail: Resilient Tuning of Language Models via Model Merging
Shitao Xiao, Zheng Liu, Peitian Zhang +1
The pre-trained language models are continually fine-tuned to better support downstream applications. However, this operation may result in significant performance degeneration on…
cs.CL2023★ 2 cited
KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language Models
Yiming Ju, Xingrun Xing, Zhixiong Zeng
Recently, Locate-Then-Edit paradigm has emerged as one of the main approaches in changing factual knowledge stored in the Language models. However, there is a lack of research on w…