A neural-network-guided iterative search over dataset combinations is claimed to improve multi-task LLM performance, but the paper's own figures and text contradict each other and no baselines or error bars are provided.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Towards Better Multi-task Learning: A Framework for Optimizing Dataset Combinations in Large Language Models
A neural-network-guided iterative search over dataset combinations is claimed to improve multi-task LLM performance, but the paper's own figures and text contradict each other and no baselines or error bars are provided.