The success of multi-task learning can depend heavily on which tasks are grouped together. Naively grouping all tasks or a random set of tasks can result in negative transfer, with the …
Inseq 1 is a recent toolkit providing an intuitive and optimized interface to conduct feature attribution analyses of generative language models. In this work, we present the latest …
Y He, W Zheng, S Wang, Z Zheng, Y Dong, Y Zhu, J Li - openreview.net
In-Context Learning (ICL) is a technique where large language models (LLMs) leverage multiple demonstrations (ie, examples) to perform tasks. With the recent expansion of LLM …