Geoffrey J. Tso

15 papers Misc 1Journal 6Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Compact Language Models with Iterative Text Refinement for Health Dialogue Summarization.
EACL (Volume 1: Long Papers)
Kellen Tan Cheng, Ganesh Ramesh, Nafiul Rashid, Geoffrey J. Tso, Jilong Kuang
2025 — conf
Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents.
EMNLP (Industry Track)
Ervine Zheng, Yikuan Li, Geoffrey J. Tso, Jilong Kuang
2025 — conf
Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization.
ACL (6)
Cheng Zhen, Ervine Zheng, Jilong Kuang, Geoffrey J. Tso
2024 — conf
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents.
ClinicalNLP@NAACL
Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan
2024 — conf
MED-OMIT: Extrinsically-Focused Evaluation Metric for Omissions in Medical Summarization.
ML4H@NeurIPS
Elliot Schumacher, Daniel Rosenthal, Dhruv Naik, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan
2023 J jnl
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents.
CoRR
Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan
2023 J jnl
Extrinsically-Focused Evaluation of Omissions in Medical Summarization.
CoRR
Elliot Schumacher, Daniel Rosenthal, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan
2022 J jnl
Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial.
J. Am. Medical Informatics Assoc.
Vy T. Ho, Rachael C. Aikens, Geoffrey J. Tso, Paul A. Heidenreich, Christopher D. Sharp, Steven M. Asch, Jonathan H. Chen, Neil K. Shah
2020 J jnl
COVID-19 in differential diagnosis of online symptom assessments.
CoRR
Anitha Kannan, Richard Chen, Vignesh Venkataraman, Geoffrey J. Tso, Xavier Amatriain
2019 J jnl
Open Set Medical Diagnosis.
CoRR
Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish Chablani, David A. Sontag, Xavier Amatriain
2018 J jnl
Learning from the experts: From expert systems to machine learned diagnosis models.
CoRR
Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain
2018 — conf
Learning from the experts: From expert systems to machine-learned diagnosis models.
MLHC
Murali Ravuri, Anitha Kannan, Geoffrey J. Tso, Xavier Amatriain
2017 — conf
High-Risk Drug-Drug Interactions Between Clinical Practice Guidelines for Management of Chronic Conditions.
CRI
Geoffrey J. Tso, Samson W. Tu, Mark A. Musen, Mary K. Goldstein
2016 Misc conf
Automating Guidelines for Clinical Decision Support: Knowledge Engineering and Implementation.
AMIA
Geoffrey J. Tso, Samson W. Tu, Connie Oshiro, Susana B. Martins, Michael Ashcraft, Kaeli Yuen, Dan Y. Wang, Amy Robinson, Paul Heidenreich, Mary K. Goldstein
2016 — conf
Test Case Selection in Pre-Deployment Testing of Complex Clinical Decision Support Systems.
CRI
Geoffrey J. Tso, Kaeli Yuen, Susana B. Martins, Samson W. Tu, Michael Ashcraft, Paul Heidenreich, Brian B. Hoffman, Mary K. Goldstein