Imagen de Portada

EuraGovExam: A Multilingual Multimodal Benchmark from Real-World Civil Service Exams

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kim, Jaeseong, Lim, Chaehwan, Gil, Sang Hyun, Lee, Suan
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evaluating Large Language Models on Multimodal Chemistry Olympiad Exams
por: Cui, Yiming, et al.
Publicado: (2025)

MathDoc: Benchmarking Structured Extraction and Active Refusal on Noisy Mathematics Exam Papers
por: Zhou, Chenyue, et al.
Publicado: (2026)

MDPBench: A Benchmark for Multilingual Document Parsing in Real-World Scenarios
por: Li, Zhang, et al.
Publicado: (2026)

Classroom Final Exam: An Instructor-Tested Reasoning Benchmark
por: Gao, Chongyang, et al.
Publicado: (2026)

MMTABREAL: Real-World Benchmark for Multimodal Table Understanding
por: Titiya, Prasham, et al.
Publicado: (2025)

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks
por: Zhou, Zhengbo, et al.
Publicado: (2024)

A Training-Free, Task-Agnostic Framework for Enhancing MLLM Performance on High-Resolution Images
por: Lee, Jaeseong, et al.
Publicado: (2025)

V-Math: An Agentic Approach to the Vietnamese National High School Graduation Mathematics Exams
por: Nguyen, Duong Q., et al.
Publicado: (2025)

Improving Interpretability and Accuracy in Neuro-Symbolic Rule Extraction Using Class-Specific Sparse Filters
por: Padalkar, Parth, et al.
Publicado: (2025)

SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
por: Lee, Jaeseong, et al.
Publicado: (2024)

VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation
por: Lim, Hyeonseok, et al.
Publicado: (2024)

EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models
por: Das, Rocktim Jyoti, et al.
Publicado: (2024)

EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios
por: Qiu, Lu, et al.
Publicado: (2024)

HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing
por: Shin, Junseong, et al.
Publicado: (2025)

GenExam: A Multidisciplinary Text-to-Image Exam
por: Wang, Zhaokai, et al.
Publicado: (2025)

SONIC-O1: A Real-World Benchmark for Evaluating Multimodal Large Language Models on Audio-Video Understanding
por: Radwan, Ahmed Y., et al.
Publicado: (2026)

Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks
por: Choi, Hyun-Ho, et al.
Publicado: (2025)

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models
por: Zhang, YiFan, et al.
Publicado: (2024)

TexAvatars : Hybrid Texel-3D Representations for Stable Rigging of Photorealistic Gaussian Head Avatars
por: Lee, Jaeseong, et al.
Publicado: (2025)

Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention
por: Park, Jeonghoon, et al.
Publicado: (2025)

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation
por: Salazar, Israfel, et al.
Publicado: (2025)

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs
por: Hong, Jack, et al.
Publicado: (2025)

Real-Time Multimodal Cognitive Assistant for Emergency Medical Services
por: Weerasinghe, Keshara, et al.
Publicado: (2024)

Closing the Gap: Data-Centric Fine-Tuning of Vision Language Models for the Standardized Exam Questions
por: Sert, Egemen, et al.
Publicado: (2025)

Are Multimodal LLMs Ready for Clinical Dermatology? A Real-World Evaluation in Dermatology
por: Jiang, Roy, et al.
Publicado: (2026)

Multimodal Emotion Recognition via Bi-directional Cross-Attention and Temporal Modeling
por: Byeon, Junhyeong, et al.
Publicado: (2026)

SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models
por: Westerhoff, Justus, et al.
Publicado: (2025)

Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation
por: Lee, Byung Hyun, et al.
Publicado: (2025)

mEOL: Training-Free Instruction-Guided Multimodal Embedder for Vector Graphics and Image Retrieval
por: Kim, Kyeong Seon, et al.
Publicado: (2026)

Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
por: Kim, Insoo, et al.
Publicado: (2024)

Continual Multimodal Egocentric Activity Recognition via Modality-Aware Novel Detection
por: Lim, Wonseon, et al.
Publicado: (2026)

Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
por: Kwon, JuneHyoung, et al.
Publicado: (2026)

PPU-Bench:Real World Benchmark for Personalized Partial Unlearning in Vision Language Models
por: Guang, Jiahui, et al.
Publicado: (2026)

CLAY: Conditional Visual Similarity Modulation in Vision-Language Embedding Space
por: Lim, Sohwi, et al.
Publicado: (2026)

AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking
por: Jiang, Xilin, et al.
Publicado: (2026)

OmniGround: A Comprehensive Spatio-Temporal Grounding Benchmark for Real-World Complex Scenarios
por: Gao, Hong, et al.
Publicado: (2025)

Grading Handwritten Engineering Exams with Multimodal Large Language Models
por: Perš, Janez, et al.
Publicado: (2026)

MIRROR: Multimodal Cognitive Reframing Therapy for Rolling with Resistance
por: Kim, Subin, et al.
Publicado: (2025)

Multi-stream deep learning framework to predict mild cognitive impairment with Rey Complex Figure Test
por: Park, Junyoung, et al.
Publicado: (2024)

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark
por: Rashvand, Narges, et al.
Publicado: (2025)