Eric Chang

3 papers · 2021–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

EMNLP (2) ACL (1)

Top co-authors

An Yan (2) Julian McAuley (2) Zexue He (2) Amilcare Gentili (2) Chun-nan Hsu (2) Jaewoo Kang (1) Jiang Du (1) Seongsu Bae (1) Xing Lu (1) Yao Liu (1)

Research topics

Artificial Intelligence (2) Healthcare & Medicine (2) Machine Learning (2) Clinical (2) Core AI (2) Computer Vision (1) Deep Learning (1) Application Areas (1) Domain-Specific (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1)

Keywords

chest x-ray (2) zero-shot learning (1) few-shot learning (1) domain adaptation (1) weakly supervised learning (1) multimodal learning (1) language model evaluation (1) medical report generation (1) instruction tuning (1) vision-language model (1) radiology report (1) radiology report generation (1) radiology report summarization (1) domain transfer (1) medical benchmark (1) contrastive learning (1) factual calibration (1)

Papers

KU-DMIS-MSRA at RadSum23: Pre-trained Vision-Language Model for Radiology Report Summarization ACL 2023 MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation EMNLP 2023 Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation EMNLP 2021