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Author

Kristina Šekrst

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#natural language process... Preprint Aug 2026

How To Do Things With Prompts

This paper applies speech act and politeness theory to a corpus-pragmatic analysis of 2,000 English-language prompts drawn from publicly shared ChatGPT conversations, showing a consistent movement toward indirect, implicit, and fragmentary realizations of directive force, accompanied by a decline in politeness marking.

Kristina Šekrst, Virna Karlić · 0 citations
#artificial intelligence Preprint Aug 2026

Who Put the I in AI? Provenance and the Admissibility of Machine Self-Report

This paper examines Pythia and OLMo 2 across 66 pretraining checkpoints, three of the post-training stages of OLMo 2 that have been released, about 90,000 continuations, and four training corpora, and traces the provenance from end to end to show exactly where such descriptions came from.

Kristina Šekrst · 0 citations
Open access Aug 2026

Clause Encounters of the Third Kind: Can LLMs Replace Language Teachers?

While various organizations now actively encourage LLM use in classrooms, we still lack rigorous, systematic evaluations of how well these models actually perform the fundamental tasks of language pedagogy. This paper examines whether state-of-the-art LLMs can deliver the kind of corrective feedback and methodological...

Kristina Šekrst, A. Kovačič · 0 citations
#artificial intelligence Open access Dec 2025

Do Large Language Models Hallucinate Electric Fata Morganas?

This paper explores the intersection of AI hallucinations and the question of AI consciousness, examining whether the erroneous outputs generated by large language models (LLMs) could be mistaken for signs of emergent intelligence. AI hallucinations, which are false or unverifiable statements produced by LLMs, raise s...

Kristina Šekrst · 1 citation

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