Understanding Clinical Cognitive Dialogues Using Large Language Models

arXiv:2609.34125 · cs.CL · Submitted 2026-09-28 · Read on arXiv

cs.CL

Submitted: 2026-09-28

Updated: 2026-10-01

Terminology

• Instruction Tuning — 21× in this paper · explained in 2 episodes
• Fine-Tuning — 15× in this paper · explained in 5 episodes
• Accuracy — 13× in this paper · explained in 1 episode
• Adaptation — 9× in this paper · explained in 1 episode
• Benchmark — 5× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• F1 Score — 3× in this paper · explained in 3 episodes
• Annotator Agreement — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• European Language Resources Association — 2× in this paper
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Orca: Progressive Learning from Complex Explanation Traces of GPT-4
• Training language models to follow instructions with human feedback
• Finetuned Language Models Are Zero-Shot Learners

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