Hoifung Poon

Masked-Diffusion Autoencoders for 3D Medical Vision Representation Learning CVPR 2026 OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning CVPR 2026 Boltzmann Attention Sampling for Image Analysis with Small Objects CVPR 2025 From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning NAACL 2025 MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding ICLR 2025 Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects MLHC 2024 Cautionary Tales on Synthetic Controls in Survival Analyses CLeaR 2024 DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation ACL 2024 mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024 Pareto Optimal Learning for Estimating Large Language Model Errors ACL 2024 UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition ICLR 2024 Context-faithful Prompting for Large Language Models EMNLP 2023 Continual Contrastive Finetuning Improves Low-Resource Relation Extraction ACL 2023 Exploring the Boundaries of GPT-4 in Radiology EMNLP 2023 Interactive Span Recommendation for Biomedical Text ACL 2023 LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day NeurIPS 2023 Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning ICLR 2023 Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology MLHC 2023 Knowledge-Rich Self-Supervision for Biomedical Entity Linking EMNLP 2022 Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing ECCV 2022 Modular Self-Supervision for Document-Level Relation Extraction EMNLP 2021 Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic AAAI 2021 Targeted Adversarial Training for Natural Language Understanding NAACL 2021 The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2020 Document-Level N-ary Relation Extraction with Multiscale Representation Learning NAACL 2019 DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain ACL 2019 Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision EMNLP 2018 EZLearn: Exploiting Organic Supervision in Automated Data Annotation IJCAI 2018 Distant Supervision for Relation Extraction beyond the Sentence Boundary EACL 2017 Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach NeurIPS 2017 NLP for Precision Medicine ACL 2017 Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text ACL 2016 Grounded Semantic Parsing for Complex Knowledge Extraction NAACL 2015 Model Selection for Type-Supervised Learning with Application to POS Tagging CoNLL 2015 Representing Text for Joint Embedding of Text and Knowledge Bases EMNLP 2015 Grounded Unsupervised Semantic Parsing ACL 2013 Probabilistic Frame Induction NAACL 2013 Joint Inference for Knowledge Extraction from Biomedical Literature NAACL 2010 Markov Logic in Natural Language Processing: Theory, Algorithms, and Applications NAACL 2010 Unsupervised Ontology Induction from Text ACL 2010 Language ID in the Context of Harvesting Language Data off the Web EACL 2009 Unsupervised Morphological Segmentation with Log-Linear Models NAACL 2009 Unsupervised Semantic Parsing EMNLP 2009 Joint Unsupervised Coreference Resolution with Markov Logic EMNLP 2008