4 citations · 11 across the 8 of their papers we have counts for
4 papers · 1 filter
Which Prompting Technique Should I Use? An Empirical Investigation of Prompting Techniques for Software Engineering Tasks
E. G. Santana, Gabriel Benjamin, Melissa Araujo +7
A growing variety of prompt engineering techniques has been proposed for Large Language Models (LLMs), yet systematic evaluation of each technique on individual software engineerin…
Consider What Humans Consider: Optimizing Commit Message Leveraging Contexts Considered By Human
Jiawei Li, David Faragó, Christian Petrov +1
Commit messages are crucial in software development, supporting maintenance tasks and communication among developers. While Large Language Models (LLMs) have advanced Commit Messag…
Enhancing LLM Performance Through Debate: An Empirical Study on Multi-Agent Debate for Coding Tasks
Yong Jin Chun, Qihong Chen, Jiawei Li +1
Large Language Models (LLMs) have advanced autonomous agents' planning and decision-making, yet they struggle with complex tasks requiring diverse expertise and multi-step reasonin…
Optimization is Better than Generation: Optimizing Commit Message Leveraging Human-written Commit Message
Jiawei Li, David Faragó, Christian Petrov +1
Commit messages are crucial in software development, supporting maintenance tasks and communication among developers. While Large Language Models (LLMs) have advanced Commit Messag…