Yanjun Gao

15 papers · 2018–2026 · 5 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

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🗺️ Taxonomy Completionist (39) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🏆 Keyword Champion (2) 📈 Trend Setter 💎 Century Club · Bronze 🔥 Unstoppable · Bronze 🌈 Renaissance Researcher (5) ❓ The Questioner 🗃️ Keyword Collector (101)

Venues

ACL (8) EMNLP (3) NAACL (2) COLING (1) CoNLL (1)

Top co-authors

Majid Afshar (7) Dmitriy Dligach (6) Rebecca J. Passonneau (5) Timothy Miller (4) Maya Kruse (3) Yifu Wu (2) Ting-Hao Huang (2) Saksham Khatwani (2) Matthew Churpek (2) Skatje Myers (1)

Research topics

Natural Language Processing (12) Artificial Intelligence (8) Applications (7) Core AI (7) Deep Learning (6) Machine Learning (6) Healthcare & Medicine (5) Clinical (5) Generation (5) Architectures (4) Core Methods (4) Learning Types (4) Interdisciplinary (3) Learning Paradigms (3) Models (3)

Keywords

electronic health record (4) large language model (4) language model (3) domain adaptation (3) text summarization (3) ensemble learning (2) clinical text summarization (2) text classification (2) ensemble method (2) content analysis (2) zero-shot learning (2) clinical nlp (2) temporal reasoning (1) knowledge distillation (1) feature extraction (1) argument mining (1) embedding learning (1) variational inference (1) uncertainty quantification (1) summarization evaluation (1)

Papers

LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval ACL 2026 Anchored Answers: Unravelling Positional Bias in GPT-2’s Multiple-Choice Questions ACL 2025 Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction EMNLP 2025 Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification EMNLP 2025 Learning to Maximize Mutual Information for Chain-of-Thought Distillation ACL 2024 When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? EMNLP 2024 Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles ACL 2023 Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning ACL 2023 Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients’ Active Diagnoses and Problems from Electronic Health Record Progress Notes ACL 2023 Summarizing Patients’ Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models COLING 2022 ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences ACL 2021 Learning Clause Representation from Dependency-Anchor Graph for Connective Prediction NAACL 2021 Automated Pyramid Summarization Evaluation CoNLL 2019 Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays ACL 2019 Automated Content Analysis: A Case Study of Computer Science Student Summaries NAACL 2018