2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2025
Iterative In-Context Learning to Enhance LLMs Abstract Reasoning: The Case-Study of Algebraic Tasks
Stefano Fioravanti, Matteo Zavatteri, Roberto Confalonieri +4
LLMs face significant challenges in systematic generalization, particularly when dealing with reasoning tasks requiring compositional rules and handling out-of-distribution example…
cs.CL2025★ 2 cited
LLMs as Data Annotators: How Close Are We to Human Performance
Muhammad Uzair Ul Haq, Davide Rigoni, Alessandro Sperduti
In NLP, fine-tuning LLMs is effective for various applications but requires high-quality annotated data. However, manual annotation of data is labor-intensive, time-consuming, and…