Cover Image

A Large-Scale Benchmark for Evaluating Large Language Models on Medical Question Answering in Romanian

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rogoz, Ana-Cristina, Ionescu, Radu Tudor, Anghel, Alexandra-Valentina, Antone-Iordache, Ionut-Lucian, Coniac, Simona, Ionescu, Andreea Iuliana
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

UnibucLLM: Harnessing LLMs for Automated Prediction of Item Difficulty and Response Time for Multiple-Choice Questions
by: Rogoz, Ana-Cristina, et al.
Published: (2024)

PoPreRo: A New Dataset for Popularity Prediction of Romanian Reddit Posts
by: Rogoz, Ana-Cristina, et al.
Published: (2024)

Large Multimodal Models for Low-Resource Languages: A Survey
by: Lupascu, Marian, et al.
Published: (2025)

Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image Datasets
by: Iordache, Adrian, et al.
Published: (2024)

MTL-MAD: Multi-Task Learners are Effective Medical Anomaly Detectors
by: Bercean, Bogdan Alexandru, et al.
Published: (2026)

Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers
by: Grigore, Diana-Nicoleta, et al.
Published: (2024)

Cascaded Cross-Modal Transformer for Audio-Textual Classification
by: Ristea, Nicolae-Catalin, et al.
Published: (2024)

A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus
by: Poesina, Eduard, et al.
Published: (2024)

RoDia: A New Dataset for Romanian Dialect Identification from Speech
by: Rotaru, Codrut, et al.
Published: (2023)

Learning Using Generated Privileged Information by Text-to-Image Diffusion Models
by: Menadil, Rafael-Edy, et al.
Published: (2023)

Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
by: Crivoi, Carla, et al.
Published: (2025)

Every Character Counts: From Vulnerability to Defense in Phishing Detection
by: Chiper, Maria, et al.
Published: (2025)

Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation
by: Hondru, Vlad, et al.
Published: (2023)

CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning
by: Dragomir, Alexandra, et al.
Published: (2026)

VQPP: Video Query Performance Prediction Benchmark
by: Lutu, Adrian Catalin, et al.
Published: (2026)

PRNU-Bench: A Novel Benchmark and Model for PRNU-Based Camera Identification
by: Croitoru, Florinel Alin, et al.
Published: (2025)

Moment matching based reduced closed-loop design to achieve asymptotic performance
by: Ionescu, Tudor C.
Published: (2024)

A systematic review of generative AI usage for IT project management
by: Anghel, Ionut, et al.
Published: (2026)

Curriculum Multi-Task Self-Supervision Improves Lightweight Architectures for Onboard Satellite Hyperspectral Image Segmentation
by: Carlesso, Hugo, et al.
Published: (2025)

Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
by: Dumitriu, Andrei, et al.
Published: (2025)

PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction
by: Poesina, Eduard, et al.
Published: (2024)

AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research
by: Apostu, Alexandru-Mihai, et al.
Published: (2025)

Audiovisual Masked Autoencoders
by: Georgescu, Mariana-Iuliana, et al.
Published: (2022)

Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text
by: Jarca, Andrei, et al.
Published: (2025)

CBM: Curriculum by Masking
by: Jarca, Andrei, et al.
Published: (2024)

RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety
by: Dumitriu, Andrei, et al.
Published: (2025)

Families of moment matching based, structure preserving approximations for linear port Hamiltonian systems
by: Ionescu, Tudor C., et al.
Published: (2013)

Time-Domain Moment Matching for Second-Order Systems
by: Cheng, Xiaodong, et al.
Published: (2023)

ExDDV: A New Dataset for Explainable Deepfake Detection in Video
by: Hondru, Vlad, et al.
Published: (2025)

SegMate: Asymmetric Attention-Based Lightweight Architecture for Efficient Multi-Organ Segmentation
by: Bunea, Andrei-Alexandru, et al.
Published: (2026)

GeMix: Conditional GAN-Based Mixup for Improved Medical Image Augmentation
by: Carlesso, Hugo, et al.
Published: (2025)

MOSLD-Bench: Multilingual Open-Set Learning and Discovery Benchmark for Text Categorization
by: Costache, Adriana-Valentina, et al.
Published: (2026)

Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation
by: Martin, Ioana Ramona, et al.
Published: (2026)

Reverse Stable Diffusion: What prompt was used to generate this image?
by: Croitoru, Florinel-Alin, et al.
Published: (2023)

Diffusion Models in Vision: A Survey
by: Croitoru, Florinel-Alin, et al.
Published: (2022)

Microgrids Coalitions for Energy Market Balancing
by: Chifu, Viorica, et al.
Published: (2025)

Text Classification Under Class Distribution Shift: A Survey
by: Costache, Adriana Valentina, et al.
Published: (2025)

Learning Rate Curriculum
by: Croitoru, Florinel-Alin, et al.
Published: (2022)

Evolutionary model for energy trading in community microgrids using Hawk-Dove strategies
by: Chifu, Viorica Rozina, et al.
Published: (2025)

From Transformers to Large Language Models: A systematic review of AI applications in the energy sector towards Agentic Digital Twins
by: Antonesi, Gabriel, et al.
Published: (2025)