13 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Diagnosing Capability Gaps in Fine-Tuning Data
Saeid Asgari Taghanaki, Rakshanda Agarwal, Bruce Sun +10
Fine-tuning large language models (LLMs) for domain-specific tasks requires training datasets that comprehensively cover the target capabilities a practitioner needs. Yet identifyi…
cs.CL2020★ 13 cited
Does Data Augmentation Improve Generalization in NLP?
Rohan Jha, Charles Lovering, Ellie Pavlick
Neural models often exploit superficial features to achieve good performance, rather than deriving more general features. Overcoming this tendency is a central challenge in areas s…