Papers Descriptive
“Descriptive” 태그가 달린 논문 1,477편 · 필터 해제
CoLMbo: Speaker Language Model for Descriptive Profiling
Speaker recognition systems are often limited to classification tasks and struggle to generate detailed speaker characteristics or provide context-rich descriptions. These models primarily extract embeddings for speaker …
DescriptiveLanguage ModelingLanguage Modellingmodel+3Alice and the Caterpillar: A more descriptive null model for assessing data mining results
We introduce novel null models for assessing the results obtained from observed binary transactional and sequence datasets, using statistical hypothesis testing. Our null models maintain more properties of the observed d…
DescriptiveArchiLense: A Framework for Quantitative Analysis of Architectural Styles Based on Vision Large Language Models
Architectural cultures across regions are characterized by stylistic diversity, shaped by historical, social, and technological contexts in addition to geograph-ical conditions. Understanding architectural styles require…
DescriptiveARGUS: Hallucination and Omission Evaluation in Video-LLMs
Video large language models have not yet been widely deployed, largely due to their tendency to hallucinate. Typical benchmarks for Video-LLMs rely simply on multiple-choice questions. Unfortunately, VideoLLMs hallucinat…
DescriptiveFormHallucinationMultiple-choice+2The Influence of Tourist Experience on Revisit Decisions with the Mediation of Tourist Satisfaction
Nusliko Park Ecotourism Area is a combination of natural and artificial tourism with the background of Lake Nusliko, which can be developed as a leading tourist attraction. Marketing strategies can be formulated by analy…
DescriptiveMarketingPRJ: Perception-Retrieval-Judgement for Generated Images
The rapid progress of generative AI has enabled remarkable creative capabilities, yet it also raises urgent concerns regarding the safety of AI-generated visual content in real-world applications such as content moderati…
DescriptiveRetrievalUltra-High-Resolution Image Synthesis: Data, Method and Evaluation
Ultra-high-resolution image synthesis holds significant potential, yet remains an underexplored challenge due to the absence of standardized benchmarks and computational constraints. In this paper, we establish Aesthetic…
4kDescriptiveImage GenerationEffect of Insecurity on Agricultural Output in Benue State, Nigeria
This study examined the effect of insecurity on agricultural output in Benue state. A descriptive survey design was employed, and 400 respondents were purposively selected from insecurity-prone local government areas, na…
DescriptiveDatasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability
High-quality datasets are fundamental to training and evaluating machine learning models, yet their creation-especially with accurate human annotations-remains a significant challenge. Many dataset paper submissions lack…
DescriptiveSynthetic Data GenerationProtein folding classes -- High-dimensional geometry of amino acid composition space revisited
In this study, the distributions of protein structure classes (or folding types) of experimentally determined structures from a legacy dataset and a comprehensive database SCOP are modeled precisely with geometric constr…
DescriptiveProtein FoldingNexusSum: Hierarchical LLM Agents for Long-Form Narrative Summarization
Summarizing long-form narratives--such as books, movies, and TV scripts--requires capturing intricate plotlines, character interactions, and thematic coherence, a task that remains challenging for existing LLMs. We intro…
DescriptiveFormLong-Form Narrative SummarizationLayerPeeler: Autoregressive Peeling for Layer-wise Image Vectorization
Image vectorization is a powerful technique that converts raster images into vector graphics, enabling enhanced flexibility and interactivity. However, popular image vectorization tools struggle with occluded regions, pr…
DescriptiveVector GraphicsVAU-R1: Advancing Video Anomaly Understanding via Reinforcement Fine-Tuning
Video Anomaly Understanding (VAU) is essential for applications such as smart cities, security surveillance, and disaster alert systems, yet remains challenging due to its demand for fine-grained spatio-temporal percepti…
Anomaly DetectionDescriptiveMultiple-choiceQuestion AnsweringComparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports
Purpose: We investigated the utilization of privacy-preserving, locally-deployed, open-source Large Language Models (LLMs) to extract diagnostic information from free-text cardiovascular magnetic resonance (CMR) reports.…
DescriptiveDiagnosticPrivacy PreservingNEXT: Multi-Grained Mixture of Experts via Text-Modulation for Multi-Modal Object Re-ID
Multi-modal object re-identification (ReID) aims to extract identity features across heterogeneous spectral modalities to enable accurate recognition and retrieval in complex real-world scenarios. However, most existing …
AttributeCaption GenerationDescriptiveMixture-of-Experts+1BiomechGPT: Towards a Biomechanically Fluent Multimodal Foundation Model for Clinically Relevant Motion Tasks
Advances in markerless motion capture are expanding access to biomechanical movement analysis, making it feasible to obtain high-quality movement data from outpatient clinics, inpatient hospitals, therapy, and even home.…
Activity RecognitionDescriptiveLanguage ModelingLanguage Modelling+1Contrastive Distillation of Emotion Knowledge from LLMs for Zero-Shot Emotion Recognition
The ability to handle various emotion labels without dedicated training is crucial for building adaptable Emotion Recognition (ER) systems. Conventional ER models rely on training using fixed label sets and struggle to g…
DescriptiveEmotion RecognitionCLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation
Existing metrics often lack the granularity and interpretability to capture nuanced clinical differences between candidate and ground-truth radiology reports, resulting in suboptimal evaluation. We introduce a Clinically…
AttributeDescriptiveCreatively Upscaling Images with Global-Regional Priors
Contemporary diffusion models show remarkable capability in text-to-image generation, while still being limited to restricted resolutions (e.g., 1,024 X 1,024). Recent advances enable tuning-free higher-resolution image …
DenoisingDescriptiveImage GenerationText to Image Generation+1Robo2VLM: Visual Question Answering from Large-Scale In-the-Wild Robot Manipulation Datasets
Vision-Language Models (VLMs) acquire real-world knowledge and general reasoning ability through Internet-scale image-text corpora. They can augment robotic systems with scene understanding and task planning, and assist …
Dataset GenerationDescriptiveMultiple-choiceQuestion Answering+6