From the 3 of 19 linked papers with an AI index.
10 papers · 1 filter
Automated Textbook Auditing with Multi-Agent LLM Systems
Ciprian Cristescu, Adrian-Marius Dumitran, Angela-Liliana Dumitran +1
The paper introduces AI Textbook Auditor, a modular multi‑agent pipeline that uses large language models to automatically detect factual, technical, and grammatical errors in textb…
Not All Tokens Are Equal: Inflation-Aware Routing for Agentic LLM Systems
Heming Fu, Shan Lin, Qianqian Xie +1
When a language model fails to answer a query on the first attempt, an agentic system retries, consuming additional tokens each time. This retry overhead creates a gap between what…
MuTSE: A Human-in-the-Loop Multi-use Text Simplification Evaluator
Rares-Alexandru Roscan, Gabriel Petre1, Adrian-Marius Dumitran +1
As Large Language Models (LLMs) become increasingly prevalent in text simplification, systematically evaluating their outputs across diverse prompting strategies and architectures…
RoBiologyDataChoiceQA: A Romanian Dataset for improving Biology understanding of Large Language Models
Dragos-Dumitru Ghinea, Adela-Nicoleta Corbeanu, Adrian-Marius Dumitran
In recent years, large language models (LLMs) have demonstrated significant potential across various natural language processing (NLP) tasks. However, their performance in domain-s…
A Cross-Lingual Analysis of Bias in Large Language Models Using Romanian History
Matei-Iulian Cocu, RÄzvan-Cosmin Cristia, Adrian Marius Dumitran
In this case study, we select a set of controversial Romanian historical questions and ask multiple Large Language Models to answer them across languages and contexts, in order to…
Do LLMs Understand Romanian Driving Laws? A Study on Multimodal and Fine-Tuned Question Answering
Eduard Barbu, Adrian Marius Dumitran
Ensuring that both new and experienced drivers master current traffic rules is critical to road safety. This paper evaluates Large Language Models (LLMs) on Romanian driving-law QA…