Author

Mantas Lukauskas

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Preprint Jul 2026

Lost in Compression: A Controlled Cross-Lingual Audit of Extractive Prompt Compressors

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 benchmarks. Most other languages already pay a token premium: the same content costs 1.3-1.8x more tokens than in English. We ask whether com...

Mantas Lukauskas · 0 citations

Review Jul 2026

Plausible but Not Valid: A Psychometric Audit of LLMs as Synthetic Survey Respondents

Large language models (LLMs) are increasingly used as synthetic survey respondents, but existing evaluations ask whether answers look plausible at the individual level. We argue the right question is psychometric: do LLMs preserve the joint distribution, latent structure, reliability, mediation pathways, and demographi...

Mantas Lukauskas, Viktorija Šarkauskaitė · 0 citations