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cs.CL2026
Best of Both Worlds: Fine-Tuned Small Models Complement LLMs for Cost and Performance Benefits
Shivam Mathur, Sri Harish Popuri, Priya Krishnan Sundararajan +2
BERT-based models require thousands of labeled samples to train. Larger models like GPT-X require only 1-5 examples per class. However, performance, cost and time tradeoffs of such…
cs.CL2021
ASPECTNEWS: Aspect-Oriented Summarization of News Documents
Ojas Ahuja, Jiacheng Xu, Akshay Gupta +2
Generic summaries try to cover an entire document and query-based summaries try to answer document-specific questions. But real users' needs often fall in between these extremes an…