88 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of British ColumbiaCA20 papers
- University of British Columbia, Okanagan CampusCA18 papers
- Okanagan University CollegeCA8 papers
- Canadian Institute for Advanced ResearchCA2 papers
- Canadian Institute for Theoretical AstrophysicsCA2 papers
- Cornell UniversityUS2 papers
- Herzberg Institute of AstrophysicsCA2 papers
- Institute of Astronomy and Astrophysics, Academia SinicaTW2 papers
- Massachusetts Institute of TechnologyUS2 papers
- McGill UniversityCA2 papers
- National Centre for Radio AstrophysicsIN2 papers
- National Research Council CanadaCA2 papers
7 papers · 1 filter
GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
Jie JW Wu, Ayanda Patrick Herlihy, Ahmad Saleem Mirza +2
With data-driven development now widely adopted, online A/B testing is an established method for measuring the effects of new technologies. However, deploying online experiments de…
Unveiling Ruby: Insights from Stack Overflow and Developer Survey
Nikta Akbarpour, Ahmad Saleem Mirza, Erfan Raoofian +2
Ruby is a widely used open-source programming language, valued for its simplicity, especially in web development. Despite its popularity, with over one million users on GitHub, lit…
Buggin: Automatic intrinsic bugs classification model using NLP and ML
Pragya Bhandari, Gema Rodríguez-Pérez
Recent studies have shown that bugs can be categorized into intrinsic and extrinsic types. Intrinsic bugs can be backtracked to specific changes in the version control system (VCS)…
A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks
Rohit Dandamudi, Gema Rodríguez-Pérez
Evaluating the performance of Code Language Models (CLMs) for software engineering tasks, especially in multilingual and low-resource programming language settings, poses significa…
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent
Jie JW Wu, Fatemeh H Fard
Large language models (LLMs) have significantly improved their ability to perform tasks in the field of code generation. However, there is still a gap between LLMs being capable co…
AutoOffAB: Toward Automated Offline A/B Testing for Data-Driven Requirement Engineering
Jie JW Wu
Software companies have widely used online A/B testing to evaluate the impact of a new technology by offering it to groups of users and comparing it against the unmodified product.…
On the Effectiveness of Pretrained Models for API Learning
Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung +4
Developers frequently use APIs to implement certain functionalities, such as parsing Excel Files, reading and writing text files line by line, etc. Developers can greatly benefit f…