2 papers
cs.CL2026
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…
cs.CL2026
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…