David Vázquez

StarFlow: Generating Structured Workflow Outputs From Sketch Images EACL 2026 BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks ICLR 2025 InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation ICLR 2025 StarVector: Generating Scalable Vector Graphics Code from Images and Text AAAI 2025 StarVector: Generating Scalable Vector Graphics Code from Images and Text CVPR 2025 UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction ICML 2025 WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation EMNLP 2025 Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection NeurIPS 2024 RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NeurIPS 2024 WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks? ICML 2024 XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference EMNLP 2024 CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning NeurIPS 2023 Constraining Representations Yields Models That Know What They Don't Know ICLR 2023 Flaky Performances When Pretraining on Relational Databases (Student Abstract) AAAI 2023 GEO-Bench: Toward Foundation Models for Earth Monitoring NeurIPS 2023 Group Robust Classification Without Any Group Information NeurIPS 2023 Knowledge Hypergraph Embedding Meets Relational Algebra JMLR 2023 OCR-VQGAN: Taming Text-Within-Image Generation WACV 2023 TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification EMNLP 2023 Data Augmentation for Intent Classification with Off-the-shelf Large Language Models ACL 2022 Multi-Label Iterated Learning for Image Classification With Label Ambiguity CVPR 2022 A Weakly Supervised Consistency-Based Learning Method for COVID-19 Segmentation in CT Images WACV 2021 Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations ICCV 2021 Haptics-based Curiosity for Sparse-reward Tasks CoRL 2021 Learning Data Augmentation With Online Bilevel Optimization for Image Classification WACV 2021 Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data ICCV 2021 Knowledge Hypergraphs: Prediction Beyond Binary Relations IJCAI 2020 Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning NeurIPS 2020 Synbols: Probing Learning Algorithms with Synthetic Datasets NeurIPS 2020 Context-Aware Visual Compatibility Prediction CVPR 2019 Where are the blobs: Counting by Localization with Point Supervision ECCV 2018 The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes CVPR 2016 Random Forests of Local Experts for Pedestrian Detection ICCV 2013