AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM (SCAM 2024 - Research Track)

Who

Suborno Deb Bappon, Saikat Mondal, Banani Roy

Track

SCAM 2024 Research Track

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When

Tue 8 Oct 2024 10:30 - 10:46 at Fremont - Program Analysis and Generation

Link to Preprint

https://arxiv.org/abs/2408.15411

Suborno Deb Bappon

Department of Computer Science, University of Saskatchewan, Canada

Canada

Saikat Mondal

University of Saskatchewan

Canada

Banani Roy

University of Saskatchewan

Canada

Time Zone

The program is currently displayed in (GMT-06:00) Mountain Time (US & Canada).

Use conference time zone: (GMT-06:00) Mountain Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

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Session Program

Tue 8 Oct
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10:30 - 12:00	Program Analysis and GenerationResearch Track at Fremont

10:30 16m Research paper		AUTOGENICS: Automated Generation of Context-Aware Inline Comments for Code Snippets on Programming Q&A Sites Using LLM Research Track Suborno Deb Bappon Department of Computer Science, University of Saskatchewan, Canada, Saikat Mondal University of Saskatchewan, Banani Roy University of Saskatchewan Pre-print
10:47 16m Research paper		Code Search Oriented Node-Enhanced Control Flow Graph Embedding Research Track Yang Xu , WenLiang Peng South China University of Technology
11:04 16m Research paper		FRANC: A Lightweight Framework for High-Quality Code Generation Research Track Mohammed Latif Siddiq University of Notre Dame, Beatrice Casey University of Notre Dame, Joanna C. S. Santos University of Notre Dame Pre-print
11:21 16m Research paper		REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models Research Track Anthony Saieva IBM Research, Saikat Chakraborty Microsoft Research, Gail Kaiser Columbia University Pre-print
11:40 20m Live Q&A		Discussion (Program Analysis and Generation) Research Track