2 papers
cs.CL2026
Human-Grounded Multimodal Benchmark with 900K-Scale Aggregated Student Response Distributions from Japan's National Assessment of Academic Ability
Kyosuke Takami, Yuka Tateisi, Satoshi Sekine +1
Authentic school examinations provide a high-validity test bed for evaluating multimodal large language models (MLLMs), yet benchmarks grounded in Japanese K-12 assessments remain…
cs.CL2018
A Quantitative Evaluation of Natural Language Question Interpretation for Question Answering Systems
Takuto Asakura, Jin-Dong Kim, Yasunori Yamamoto +2
Systematic benchmark evaluation plays an important role in the process of improving technologies for Question Answering (QA) systems. While currently there are a number of existing…