3 papers
cs.AI2026
Probable but Not Valid: A Psychometric Audit of Decision Models as Synthetic Survey Respondents
Mantas Lukauskas, Viktorija Šarkauskaitė
Language models are increasingly used to create synthetic survey samples, also called silicon samples. Decision models are a new class of language models that return a probability…
cs.CL2026
Lost in Compression: A Controlled Cross-Lingual Audit of Extractive Prompt Compressors
Mantas Lukauskas
Extractive prompt compression promises to cut LLM inference costs by removing low-information tokens, and learned compressors such as LLMLingua-2 report strong results on English b…
cs.CY2026
Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents
Mantas Lukauskas, Viktorija Šarkauskaitė
Large language models (LLMs) are increasingly used as synthetic survey respondents, but existing evaluations mostly ask whether individual answers look plausible. We ask a stricter…