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cs.CL2024
Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information
Yingya Li, Timothy Miller, Steven Bethard +1
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…
cs.CL2024
Memorization in In-Context Learning
Shahriar Golchin, Mihai Surdeanu, Steven Bethard +2
In-context learning (ICL) has proven to be an effective strategy for improving the performance of large language models (LLMs) with no additional training. However, the exact mecha…