4 papers
Can Structural Cues Save LLMs? Evaluating Language Models in Massive Document Streams
Yukyung Lee, Yebin Lim, Woojun Jung +2
Evaluating language models in streaming environments is critical, yet underexplored. Existing benchmarks either focus on single complex events or provide curated inputs for each qu…
Segment-driven Structural Induction and Semantic Alignment for Heterogeneous Tabular Representation
Woojun Jung, Susik Yoon
Real-world domains often contain heterogeneous tables whose headers vary while their underlying attribute semantics are shared, making it difficult to induce domain-specialized sem…
QEVA: A Reference-Free Evaluation Metric for Narrative Video Summarization with Multimodal Question Answering
Woojun Jung, Junyeong Kim
Video-to-text summarization remains underexplored in terms of comprehensive evaluation methods. Traditional n-gram overlap-based metrics and recent large language model (LLM)-based…
Visual Funnel: Resolving Contextual Blindness in Multimodal Large Language Models
Woojun Jung, Jaehoon Go, Mingyu Jeon +2
Multimodal Large Language Models (MLLMs) demonstrate impressive reasoning capabilities, but often fail to perceive fine-grained visual details, limiting their applicability in prec…