16 citations · 16 across the 2 of their papers we have counts for
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cs.CL2026
Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE Framework
Nora Petrova, Andrew Gordon, Enzo Blindow
The evaluation of large language models faces significant challenges. Technical benchmarks often lack real-world relevance, while existing human preference evaluations suffer from…
cs.CL2023★ 16 cited
Prevalence and prevention of large language model use in crowd work
Veniamin Veselovsky, Manoel Horta Ribeiro, Philip Cozzolino +3
We show that the use of large language models (LLMs) is prevalent among crowd workers, and that targeted mitigation strategies can significantly reduce, but not eliminate, LLM use.…