2 papers
cs.CL2026
Adam's Law: Textual Frequency Law on Large Language Models
Hongyuan Adam Lu, Z. L., Victor Wei +5
While textual frequency has been validated as relevant to human cognition in reading speed, its relatedness to Large Language Models (LLMs) is seldom studied. We propose a novel re…
cs.CL2026
Large Language Models as Annotators for Machine Translation Quality Estimation
Sidi Wang, Sophie Arnoult, Amir Kamran
Large Language Models (LLMs) have demonstrated excellent performance on Machine Translation Quality Estimation (MTQE), yet their high inference costs make them impractical for dire…