Papers by Cristian-George Craciun
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering (2025.findings-acl)
Copied to clipboard
| Challenge: | Question answering systems have been used for various domains and languages. |
| Approach: | They propose a novel approach for question answering (QA) that combines a dataset of Romanian legal questions with a CROL corpus of laws. |
| Outcome: | The proposed approach achieves competitive results with generally accepted state-of-the-art methods and even exceeds them in most settings. |
RoQLlama: A Lightweight Romanian Adapted Language Model (2024.findings-emnlp)
Copied to clipboard
| Challenge: | Currently, open-source large language models are limited to tasks involving the English language. |
| Approach: | They propose to use QLoRA to train a Romanian-adapted LLM with 7 billion parameters and quantized to 4 bits to improve model's performance. |
| Outcome: | The proposed model outperforms the other LLMs on four out of the seven tasks investigated using zero-shot prompting. |
RoD-TAL: A Benchmark for Answering Questions in Romanian Driving License Exams (2026.findings-eacl)
Copied to clipboard
Andrei Vlad Man, Răzvan-Alexandru Smădu, Cristian-George Craciun, Dumitru-Clementin Cercel, Florin Pop, Mihaela-Claudia Cercel
| Challenge: | a growing need for tools that support legal education, especially in under-resourced languages such as Romanian . we evaluate the capabilities of large language models and vision-language models in legal education . |
| Approach: | They evaluate the capabilities of Large Language Models and Vision-Language Models in Romanian driving law through textual and visual question-answering tasks. |
| Outcome: | The proposed model improves retrieval performance and QA accuracy in Romanian driving tests. |