1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2026
Antipatterns in AI-assisted Qualitative Data Analysis: A Catalog of Temptations and Pitfalls for Software Engineering Researchers
Rashina Hoda, Carolyn Seaman, Victoria Gomes +1
AI-assisted qualitative data analysis (QDA) offers unprecedented opportunities to streamline software engineering (SE) research, yet uncritical use risks compromising analytical ri…
cs.SE2026
LLM-Assisted Empirical Software Engineering: Systematic Literature Review and Research Agenda
Victoria Gomes, Delaney Selb, Fabio Palomba +2
Context: Empirical Software Engineering (ESE) faces increasing challenges due to data scale, methodological complexity, and reproducibility concerns. Large Language Models (LLMs) h…
cs.CV2023★ 1 cited
Mirasol3B: A Multimodal Autoregressive model for time-aligned and contextual modalities
AJ Piergiovanni, Isaac Noble, Dahun Kim +3
One of the main challenges of multimodal learning is the need to combine heterogeneous modalities (e.g., video, audio, text). For example, video and audio are obtained at much high…