Hoifung Poon

42 papers · 2008–2025 · 13 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (70) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (13) 🏃 Academic Marathon (17) 🌟 Keyword Trendsetter Combo (6) 🤝 Dynamic Duo (13) 👥 Mega-Team (21) 🌱 Topic Pioneer ⚡ Prolific Year (6) 💎 Century Club (42) 📈 Trend Setter 🗃️ Keyword Collector (115) 🔥 Unstoppable (11)

Conferences

ACL (10) EMNLP (9) NAACL (8) ICLR (3) EACL (2) MLHC (2) NIPS (2) AAAI (1) CLEAR (1) CONLL (1) CVPR (1) ECCV (1) IJCAI (1)

Top co-authors

Sheng Zhang (13) Tristan Naumann (8) Cliff Wong (7) Jianfeng Gao (6) Kristina Toutanova (6) Muhao Chen (6) Naoto Usuyama (6) Hao Cheng (5) Wenxuan Zhou (5) Xiaodong Liu (4)

Keywords

large language model (7) self-supervised learning (4) relation extraction (4) distant supervision (3) natural language understanding (3) probabilistic logic (3) biomedical nlp (3) biomedical text (3) precision medicine (2) transfer learning (2) deep neural network (2) zero-shot learning (2) variational inference (2) text classification (2) adversarial training (2) multi-task learning (2) document-level extraction (2) contrastive learning (2) natural language inference (2) multimodal learning (2)

Papers

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding ICLR 2025

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

Pareto Optimal Learning for Estimating Large Language Model Errors ACL 2024

Cautionary Tales on Synthetic Controls in Survival Analyses CLEAR 2024

mDPO: Conditional Preference Optimization for Multimodal Large Language Models EMNLP 2024

Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects MLHC 2024

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition ICLR 2024

DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation ACL 2024

Exploring the Boundaries of GPT-4 in Radiology EMNLP 2023

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning ICLR 2023

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day NIPS 2023

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction ACL 2023

Interactive Span Recommendation for Biomedical Text ACL 2023

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology MLHC 2023

Context-faithful Prompting for Large Language Models EMNLP 2023

Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing ECCV 2022

Knowledge-Rich Self-Supervision for Biomedical Entity Linking EMNLP 2022

Targeted Adversarial Training for Natural Language Understanding NAACL 2021

Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic AAAI 2021

Modular Self-Supervision for Document-Level Relation Extraction EMNLP 2021

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2020

DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain ACL 2019

Document-Level N-ary Relation Extraction with Multiscale Representation Learning NAACL 2019

EZLearn: Exploiting Organic Supervision in Automated Data Annotation IJCAI 2018

Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision EMNLP 2018

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach NIPS 2017

NLP for Precision Medicine ACL 2017

Distant Supervision for Relation Extraction beyond the Sentence Boundary EACL 2017

Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text ACL 2016

Representing Text for Joint Embedding of Text and Knowledge Bases EMNLP 2015

Model Selection for Type-Supervised Learning with Application to POS Tagging CONLL 2015

Grounded Semantic Parsing for Complex Knowledge Extraction NAACL 2015

Grounded Unsupervised Semantic Parsing ACL 2013

Probabilistic Frame Induction NAACL 2013

Unsupervised Ontology Induction from Text ACL 2010

Joint Inference for Knowledge Extraction from Biomedical Literature NAACL 2010

Markov Logic in Natural Language Processing: Theory, Algorithms, and Applications NAACL 2010

Unsupervised Morphological Segmentation with Log-Linear Models NAACL 2009

Language ID in the Context of Harvesting Language Data off the Web EACL 2009

Unsupervised Semantic Parsing EMNLP 2009

Joint Unsupervised Coreference Resolution with Markov Logic EMNLP 2008