John M. Giorgi

According to our database, John M. Giorgi authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TOPICAL: TOPIC Pages AutomagicaLly.

John M. Giorgi, Amanpreet Singh, Doug Downey, Sergey Feldman, Lucy Lu Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

2023

Clinical Note Generation from Doctor-Patient Conversations using Large Language Models: Insights from MEDIQA-Chat.

John M. Giorgi, Augustin Toma, Ronald Xie, Sondra Chen, Kevin R. An, Grace X. Zheng, Bo Wang

CoRR, 2023

Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset.

Saeid Alavi Naeini, Raeid Saqur, Mozhgan Saeidi, John M. Giorgi, Babak Taati

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval.

John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models.

John M. Giorgi, Augustin Toma, Ronald Xie, Sondra Chen, Kevin R. An, Grace X. Zheng, Bo Wang

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Exploring the Challenges of Open Domain Multi-Document Summarization.

John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan

CoRR, 2022

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing.

Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

CoRR, 2022

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing.

Jason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A sequence-to-sequence approach for document-level relation extraction.

John M. Giorgi, Gary D. Bader, Bo Wang

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

2021

A flexible search system for high-accuracy identification of biological entities and molecules.

Max Franz, Jeffrey V. Wong, Metin Can Siper, Christian Dallago, John M. Giorgi, Emek Demir, Chris Sander, Gary D. Bader

J. Open Source Softw., 2021

DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations.

John M. Giorgi, Osvald Nitski, Bo Wang, Gary D. Bader

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Towards reliable named entity recognition in the biomedical domain.

John M. Giorgi, Gary D. Bader

Bioinform., 2020

2019

End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models.

John M. Giorgi, Xindi Wang, Nicola Sahar, Won Young Shin, Gary D. Bader, Bo Wang

CoRR, 2019

2018

Transfer learning for biomedical named entity recognition with neural networks.

John M. Giorgi, Gary D. Bader

Bioinform., 2018