A survey of text classification based on pre-trained language model
The utilization of text classification is widespread within the domain of Natural Language
Processing (NLP). In recent years, pre-trained language models (PLMs) based on the …
Processing (NLP). In recent years, pre-trained language models (PLMs) based on the …
Cif-bench: A chinese instruction-following benchmark for evaluating the generalizability of large language models
The advancement of large language models (LLMs) has enhanced the ability to generalize
across a wide range of unseen natural language processing (NLP) tasks through instruction …
across a wide range of unseen natural language processing (NLP) tasks through instruction …
Latent Learningscape Guided In-context Learning
The growing interest in leveraging large language models is driven by their exceptional
imitation and reasoning capabilities. In-context learning (ICL), a streamlined method, has …
imitation and reasoning capabilities. In-context learning (ICL), a streamlined method, has …