Andrew Tran

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 19

Top Topics

Relevance Model

Multiple Choice Questions

Top Venues

Publications

Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. ACE (2024)
Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. SIGCSE (1) (2023)
Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa
Automatically Generating CS Learning Materials with Large Language Models. SIGCSE (2) (2023)
Xiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning. CoRR (2023)
Xiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein
GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning. ClinicalNLP@ACL (2023)
Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas
Comparing Code Explanations Created by Students and Large Language Models. CoRR (2023)
Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models. CoRR (2023)
Stephen MacNeil, Andrew Tran, Joanne Kim, Ziheng Huang, Seth Bernstein, Dan Mogil
Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances. CoRR (2023)
Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas
Comparing Code Explanations Created by Students and Large Language Models. ITiCSE (1) (2023)
Andrew Tran, Kenneth Angelikas, Egi Rama, Chiku Okechukwu, David H. Smith, Stephen MacNeil
Generating Multiple Choice Questions for Computing Courses Using Large Language Models. FIE (2023)
Stephen MacNeil, Joanne Kim, Juho Leinonen, Paul Denny, Seth Bernstein, Brett A. Becker, Michel Wermelinger, Arto Hellas, Andrew Tran, Sami Sarsa, James Prather, Viraj Kumar
The Implications of Large Language Models for CS Teachers and Students. SIGCSE (2) (2023)
Stephen MacNeil, Andrew Tran, Dan Mogil, Seth Bernstein, Erin Ross, Ziheng Huang
Generating Diverse Code Explanations using the GPT-3 Large Language Model. ICER (2) (2022)
Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen
Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book. CoRR (2022)
Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa
Automatically Generating CS Learning Materials with Large Language Models. CoRR (2022)
Andrew Tran, Linxuan Li, Egi Rama, Kenneth Angelikas, Stephen MacNeil
Using Large Language Models to Automatically Identify Programming Concepts in Code Snippets. ICER (2) (2022)
Steven Rich, Andrew Tran, Aaron Williams, Jason Holt, Jeffery Sauer, Taylor Oshan
arcos and arcospy: R and Python packages for accessing the DEA ARCOS database from 2006 - 2014. J. Open Source Softw. 5 (53) (2020)
Santiago Correa, Noman Bashir, Andrew Tran, David E. Irwin, Jay Taneja
Extend: A Framework for Increasing Energy Access by Interconnecting Solar Home Systems. COMPASS (2020)
Andrew Tran, Yamini Dasu, Anna Baynes
Visual Analytic Process to Familiarize the Average Person with Ways to Apply Machine Learning. Visualization and Data Analysis (2019)
Ying Choon Wu, Jeffery Wang, Andrew Tran, Alex Schperberg, John Caldwell, Tzyy-Pmg Jung, Po-Chih Kuo
MoBI-Box: A next generation Mobile Brain-Body Imaging Platform. CogSIMA (2016)
Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding
TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain. SemEval@ACL (2010)
Ping Chen, David Brown, Andrew Tran, Noble Ozoka, Rafael Ortiz
Word sense distribution in a web corpus. IEEE ICCI (2010)
Andrew Tran, Nicholas Hopper, Yongdae Kim
Hashing it out in public: common failure modes of DHT-based anonymity schemes. WPES (2009)
Jon McLachlan, Andrew Tran, Nicholas Hopper, Yongdae Kim
Scalable onion routing with torsk. CCS (2009)