most citedCodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

1 paper · 1 filter

cs.CL2025

LLM-as-a-qualitative-judge: automating error analysis in natural language generation

Nadezhda Chirkova, Tunde Oluwaseyi Ajayi, Seth Aycock +4

Prompting large language models (LLMs) to evaluate generated text, known as LLM-as-a-judge, has become a standard evaluation approach in natural language generation (NLG), but is p…