Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models

no code implementations • 27 Nov 2023 • Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim

Unlike syntax errors, for which a compiler or interpreter can issue a message, logic errors can be subtle.

GPT-4

GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning

no code implementations • 8 May 2023 • Xiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein

This paper presents our contribution to the MEDIQA-2023 Dialogue2Note shared task, encompassing both subtask A and subtask B.

GPT-4 In-Context Learning +2

Comparing Code Explanations Created by Students and Large Language Models

no code implementations • 8 Apr 2023 • Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas

In this paper, we explore the potential of LLMs in generating explanations that can serve as examples to scaffold students' ability to understand and explain code.

Inhibitory feedback from the motor circuit gates mechanosensory processing in C. elegans

no code implementations • 6 Jan 2023 • Sandeep Kumar, Anuj K Sharma, Andrew Tran, Andrew M Leifer

Inhibiting neurons SAA, RIV and SMB during a turn restores the likelihood with which mechanosensory activation evokes reversals.