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20232026
most citedGeopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models

2 citations · 6 across the 10 of their papers we have counts for

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cs.CL2026

Boosting Self-Consistency with Ranking

Maria Marina, Daniil Moskovskiy, Sergey Pletenev +3

Self-consistency improves large language models by sampling multiple reasoning paths and selecting the most frequent answer, but majority voting often fails to recover correct answ…

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…