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cs.CL2025
Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes
Mayuka Jayawardhana, Renbo, Samuel Dooley +6
Large language models (LLMs) perform remarkably well on tabular datasets in zero- and few-shot settings, since they can extract meaning from natural language column headers that de…
cs.CL2024
Machine Translation Hallucination Detection for Low and High Resource Languages using Large Language Models
Kenza Benkirane, Laura Gongas, Shahar Pelles +6
Recent advancements in massively multilingual machine translation systems have significantly enhanced translation accuracy; however, even the best performing systems still generate…