2 citations · 2 across the 1 of their papers we have counts for
3 papers
Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding
Conrad Borchers, Bahar Shahrokhian, Francesco Balzan +3
Large Language Models (LLMs) enable new possibilities for qualitative research at scale, including annotation and qualitative coding of educational data. While LLM-based multi-agen…
Disagreement as Data: Reasoning Trace Analytics in Multi-Agent Systems
Elham Tajik, Conrad Borchers, Bahar Shahrokhian +4
Learning analytics researchers often analyze qualitative student data such as coded annotations or interview transcripts to understand learning processes. With the rise of generati…
Investigating Developers' Preferences for Learning and Issue Resolution Resources in the ChatGPT Era
Ahmad Tayeb, Mohammad D. Alahmadi, Elham Tajik +1
The landscape of software developer learning resources has continuously evolved, with recent trends favoring engaging formats like video tutorials. The emergence of Large Language…