most citedLLMs Simulate Big Five Personality Traits: Further Evidence

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cs.CL2025

Preliminary Ranking of WMT25 General Machine Translation Systems

Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +25

We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metric…

cs.CL2025

Voices of Freelance Professional Writers on AI: Limitations, Expectations, and Fears

Anastasiia Ivanova, Natalia Fedorova, Sergei Tilga +1

The rapid development of AI-driven tools, particularly large language models (LLMs), is reshaping professional writing. Still, key aspects of their adoption such as language suppor…

cs.CL2025

JEEM: Vision-Language Understanding in Four Arabic Dialects

Karima Kadaoui, Hanin Atwany, Hamdan Al-Ali +7

We introduce JEEM, a benchmark designed to evaluate Vision-Language Models (VLMs) on visual understanding across four Arabic-speaking countries: Jordan, The Emirates, Egypt, and Mo…

cs.CL2024★ 1 cited

Hands-On Tutorial: Labeling with LLM and Human-in-the-Loop

Ekaterina Artemova, Akim Tsvigun, Dominik Schlechtweg +4

Training and deploying machine learning models relies on a large amount of human-annotated data. As human labeling becomes increasingly expensive and time-consuming, recent researc…

cs.CL2024★ 3 cited

LLMs Simulate Big Five Personality Traits: Further Evidence

Aleksandra Sorokovikova, Natalia Fedorova, Sharwin Rezagholi +1

An empirical investigation into the simulation of the Big Five personality traits by large language models (LLMs), namely Llama2, GPT4, and Mixtral, is presented. We analyze the pe…