33 citations · 62 across the 21 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CL2023★ 2 cited
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
Chenyang Song, Xu Han, Zheni Zeng +5
Continual learning necessitates the continual adaptation of models to newly emerging tasks while minimizing the catastrophic forgetting of old ones. This is extremely challenging f…
cs.CL2023★ 3 cited
Interactive Molecular Discovery with Natural Language
Zheni Zeng, Bangchen Yin, Shipeng Wang +7
Natural language is expected to be a key medium for various human-machine interactions in the era of large language models. When it comes to the biochemistry field, a series of tas…
cs.CL2023★ 33 cited
Tool Learning with Foundation Models
Yujia Qin, Shengding Hu, Yankai Lin +38
Humans possess an extraordinary ability to create and utilize tools, allowing them to overcome physical limitations and explore new frontiers. With the advent of foundation models,…