10 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.HC2026
How AI Coders Discuss, Disagree, and Reach Consensus: Challenges and Opportunities for LLM-Based Qualitative Coding
Jeongyeon Kim, John Mitchell
The utility of AI in multi-coder qualitative coding has been widely discussed, yet little empirical evidence exists to delineate the contexts in which it performs reliably. We addr…
cs.HC2024★ 4 cited
ChatCollab: Exploring Collaboration Between Humans and AI Agents in Software Teams
Benjamin Klieger, Charis Charitsis, Miroslav Suzara +3
We explore the potential for productive team-based collaboration between humans and Artificial Intelligence (AI) by presenting and conducting initial tests with a general framework…
cs.LG2019★ 10 cited
Generative Grading: Near Human-level Accuracy for Automated Feedback on Richly Structured Problems
Ali Malik, Mike Wu, Vrinda Vasavada +5
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like computer programming, grap…