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cs.CL2024
Augmenting In-Context-Learning in LLMs via Automatic Data Labeling and Refinement
Joseph Shtok, Amit Alfassy, Foad Abo Dahood +3
It has been shown that Large Language Models' (LLMs) performance can be improved for many tasks using Chain of Thought (CoT) or In-Context Learning (ICL), which involve demonstrati…
cs.CL2024
NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning
Eli Schwartz, Leshem Choshen, Joseph Shtok +3
Language models struggle with handling numerical data and performing arithmetic operations. We hypothesize that this limitation can be partially attributed to non-intuitive textual…