Cliff Wong

According to our database1, Cliff Wong authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR, 2024

Foundation Models for Biomedical Image Segmentation: A Survey.
CoRR, 2024

DocLens: Multi-aspect Fine-grained Medical Text Evaluation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Enhancing Medical Text Evaluation with GPT-4.
CoRR, 2023

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models.
CoRR, 2023

Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events.
CoRR, 2023

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing.
CoRR, 2023

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.
Proceedings of the Machine Learning for Healthcare Conference, 2023

2022
Knowledge-Rich Self-Supervision for Biomedical Entity Linking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Knowledge-Rich Self-Supervised Entity Linking.
CoRR, 2021

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Modular Self-Supervision for Document-Level Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019
Document-Level N-ary Relation Extraction with Multiscale Representation Learning.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019


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