collaborators

5 papers

cs.CL2026

Beyond Detection: Rethinking Education in the Age of AI-writing

Maria Marina, Alexander Panchenko, Vasily Konovalov

As generative AI tools like ChatGPT enter classrooms, workplaces and everyday thinking, writing is at risk of becoming a formality -- outsourced, automated and stripped of its cogn…

cs.CL2026

The Chronicles of RiDiC: Generating Datasets with Controlled Popularity Distribution for Long-form Factuality Evaluation

Pavel Braslavski, Dmitrii Iarosh, Nikita Sushko +4

We present a configurable pipeline for generating multilingual sets of entities with specified characteristics, such as domain, geographical location and popularity, using data fro…

cs.CL2026

Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval

Artem Vazhentsev, Maria Marina, Daniil Moskovskiy +8

Trustworthiness is a core research challenge for agentic AI systems built on Large Language Models (LLMs). To enhance trust, natural language claims from diverse sources, including…

cs.CL2025

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA

Sergey Pletenev, Maria Marina, Nikolay Ivanov +6

Large Language Models (LLMs) often hallucinate in question answering (QA) tasks. A key yet underexplored factor contributing to this is the temporality of questions -- whether they…

cs.CL2025

LLM-Independent Adaptive RAG: Let the Question Speak for Itself

Maria Marina, Nikolay Ivanov, Sergey Pletenev +6

Large Language Models~(LLMs) are prone to hallucinations, and Retrieval-Augmented Generation (RAG) helps mitigate this, but at a high computational cost while risking misinformatio…