Data papers

Browse recent papers, open the full write-up, or filter the archive by topic.

35 papers found

ReviewPaperPublishedTopics

6.8GlobeAudio: A Multilingual Multicultural Benchmark for Naturalistic Evaluation of Large Audio-Language ModelsUnderstanding the limitations of current LALMs in real-world, multilingual, and multicultural contexts is crucial for developing more effective and inclusive AI systems.Jun 9, 2026Multimodal Evaluation Benchmark

7.2A robust PPG foundation model using multimodal physiological supervisionThis approach could lead to more reliable PPG-based applications in consumer devices and clinical settings by improving model performance on noisy data.Jun 8, 2026Multimodal Data

7.2TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation ModelsThis work is relevant for AI researchers and engineers dealing with real-world multimodal time series data, as it offers a method to improve model robustness and accuracy in the presence of missing or irregular data.Jun 6, 2026Multimodal Data

7.5VGGSounder: Audio-Visual Evaluations for Foundation ModelsThis work is significant for researchers and engineers developing audio-visual models, as it provides a more reliable benchmark for assessing multi-modal understanding.Jun 5, 2026Multimodal Evaluation Benchmark

6.8CL-DMDF:Dynamic Multimodal Data Fusion Model Based on Contrastive LearningThe approach addresses the challenge of missing or uncertain modality inputs in real-world multimodal data fusion, potentially improving decision-making processes in complex environments.Jun 3, 2026Multimodal Data

7.5AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked ModelingThis work addresses the critical challenge of generating human motion across multiple modalities, which is essential for advancements in robotics and computer vision applications.May 29, 2026Multimodal Data Robotics

7.2FLORO: A Multimodal Geospatial Foundation Model for Ecological Remote Sensing Across Sensors and ScalesThis work is relevant for AI researchers and engineers working on remote sensing applications, as it demonstrates effective model performance with smaller datasets, which is crucial for ecological and environmental monitoring.May 28, 2026Multimodal Data Benchmark

7.5Towards Autonomous Mechanistic Reasoning in Virtual CellsThis research addresses the critical gap in factually grounded explanations in biology, which can enhance the reliability of scientific discovery using AI.May 22, 2026LLM Agent Reasoning

7.2Do Chinese models speak Chinese languages?Understanding the language capabilities of AI models is crucial for addressing the needs of diverse populations and informing resource allocation in AI development.May 18, 2026LLM Evaluation Data

6.8Structure-BiEval: A Self-Supervised, Dual-Track Framework for Decoupling Structure and Content in LLM Evaluation for Web Information SystemsUnderstanding and improving the structural fidelity of LLMs is crucial for their effective deployment in web-based systems, where accurate data formatting is essential for API interactions and data exchange.May 18, 2026LLM Evaluation Data

7.5Continual Learning with Multilingual Foundation ModelThis research is significant for improving the understanding of language dynamics in social media, particularly in the context of LGBTQ+ discourse, which can inform both academic research and practical applications in moderation tools.May 14, 2026LLM Evaluation Data

7.0LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metricsUnderstanding LLM performance in specialized legal domains can improve automated text annotation, potentially reducing costs and increasing efficiency in legal processes.May 14, 2026LLM Evaluation Benchmark

7.2Pan-FM: A Pan-Organ Foundation Model with Saliency-Guided Masking for Missing RobustnessThis research addresses the challenge of missing data in multimodal medical imaging, which is crucial for developing more generalizable and robust AI models in healthcare.May 11, 2026Multimodal Data

7.5LLM-Based Agents for Competitive Landscape Mapping in Drug Asset Due DiligenceThis research addresses a critical need in the biotech industry for efficient and accurate competitor analysis, potentially saving significant time and resources for investors.May 11, 2026LLM Agent Evaluation

7.5Data Language Models: A New Foundation Model Class for Tabular DataThis work addresses a significant gap in AI by providing a native understanding of tabular data, which is crucial for many real-world applications and decision-making processes.May 8, 2026Data

7.2Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation ModelsUnderstanding the differences in data distributions is crucial for improving the performance and generalization of AI models, especially in tabular data applications.May 8, 2026Data Evaluation

7.2Understanding Annotator Safety Policy with InterpretabilityUnderstanding the reasons behind annotation disagreements can lead to more effective and inclusive AI safety policies, which is crucial for developing reliable AI systems.May 8, 2026Safety Interpretability Data

8.2Foundation Models to Unlock Real-World Evidence from Nationwide Medical ClaimsThis research has the potential to transform how real-world evidence is generated and utilized in healthcare decision-making, impacting regulatory evaluations and clinical practices.May 7, 2026Data

6.8Nsanku: Evaluating Zero-Shot Translation Performance of LLMs for Ghanaian LanguagesUnderstanding LLM performance on low-resource languages like those in Ghana is crucial for expanding AI's global accessibility and utility.May 7, 2026LLM Evaluation Benchmark

7.2Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecastingThis work is relevant for AI researchers and engineers focused on climate science, as it provides a versatile tool for integrating and forecasting diverse environmental data, potentially improving predictions of extreme weather events.May 6, 2026Multimodal Data Architecture

7.2Foundation Models for Discovery and Exploration in Chemical SpaceThis work is relevant for AI researchers and engineers interested in materials discovery and optimization, offering scalable models that can predict complex chemical properties efficiently.May 4, 2026LLM Data Other

7.5HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation DataThis research addresses the urgent need for timely data in disaster management, potentially improving response strategies and outcomes in climate-related emergencies.May 1, 2026Data Vision Language Benchmark

7.2Language Ideologies in a Multilingual Society: An LLM-based Analysis of Luxembourgish News CommentsUnderstanding language ideologies in multilingual contexts can enhance social cohesion and identity recognition, making this research relevant for linguists and social scientists.May 1, 2026LLM Evaluation Data

6.8Data-Centric Foundation Models in Computational Healthcare: A SurveyUnderstanding data-centric approaches in foundation models can improve healthcare AI systems by addressing data quality and ethical challenges.Apr 30, 2026Survey Data Alignment

7.5Expert Evaluation of LLM's Open-Ended Legal Reasoning on the Japanese Bar Exam Writing TaskUnderstanding LLMs' capabilities and limitations in legal reasoning is crucial for developing reliable AI tools in legal contexts, especially in jurisdictions with unique legal frameworks like Japan.Apr 29, 2026LLM Evaluation Data

7.0Towards Safe Mobility: A Unified Transportation Foundation Model enabled by Open-Ended Vision-Language DatasetThis work addresses the gap in city-scale traffic analysis by providing a dataset and model that could enhance safety in urban transportation systems.Apr 27, 2026Multimodal Vision Language Safety

6.8Controllable Spoken Dialogue Generation: An LLM-Driven Grading System for K-12 Non-Native English LearnersThis work addresses the gap in language learning tools for non-native English speakers, providing a scalable solution for personalized education in non-immersive environments.Apr 27, 2026LLM Data Evaluation

7.2FETS Benchmark: Foundation Models Outperform Dataset-specific Machine Learning in Energy Time Series ForecastingThis research highlights the potential of foundation models to provide scalable and generalizable solutions for energy forecasting, which is crucial for efficient energy system planning and operation.Apr 27, 2026Benchmark Data

7.23D Foundation Model for Generalizable Disease Detection in Head Computed TomographyThis research demonstrates the potential of self-supervised learning to improve medical imaging diagnostics, reducing the need for annotated data and potentially enhancing early disease detection in clinical settings.Apr 22, 2026Vision Language Data Architecture

6.8Can Large Language Models Detect Methodological Flaws? Evidence from Gesture Recognition for UAV-Based Rescue Operation Based on Deep LearningThis research highlights the potential of LLMs to enhance the reproducibility and reliability of scientific research by identifying common methodological errors.Apr 18, 2026LLM Evaluation Data

7.5Building Trust in the Skies: A Knowledge-Grounded LLM-based Framework for Aviation SafetyThis research is crucial for the aviation industry, where safety decisions must be accurate and verifiable, especially given the increasing reliance on AI technologies.Apr 17, 2026LLM Safety Data

8.5KumoRFM-2: Scaling Foundation Models for Relational LearningThis paper introduces a foundation model that significantly improves the handling of relational data, a critical component in many real-world applications, by outperforming existing methods and scaling to large datasets.Apr 16, 2026Benchmark Data Infra

8.5GeoMeld: Toward Semantically Grounded Foundation Models for Remote SensingThis paper addresses the challenge of semantically grounded foundation modeling in remote sensing by providing a large-scale dataset and a novel pretraining framework, potentially enhancing the accuracy and applicability of remote sensing models.Apr 14, 2026Alignment Data Multimodal

8.5From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal ConsultationThe development of JurisCQAD and the JurisMA framework addresses critical challenges in legal AI, such as data scarcity and complex reasoning, paving the way for more effective legal consultation tools.Apr 14, 2026Agent Data LLM

8.5Agentic AI in Engineering and Manufacturing: Industry Perspectives on Utility, Adoption, Challenges, and OpportunitiesUnderstanding the barriers and opportunities for agentic AI in industry can guide future research and development efforts, ultimately enhancing productivity and innovation in engineering and manufacturing sectors.Apr 14, 2026Agent Data Survey