Speech-to-SOAP: End-to-End Summarization of Medical Dialogues: KIT@BeTraC 2026

arXiv:2608.24327 · cs.CL, eess.AS · Submitted 2026-08-25 · Read on arXiv

cs.CL, eess.AS

Submitted: 2026-08-25

Updated: 2026-09-21

Terminology

• Adaptation — 11× in this paper · explained in 1 episode
• Ablation — 7× in this paper · explained in 1 episode
• Data Augmentation — 3× in this paper · explained in 7 episodes
• Adversarial Training — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Chain-of-Thought (CoT) — 2× in this paper · explained in 4 episodes
• Continual Learning — 2× in this paper · explained in 2 episodes
• Domain Shift — 2× in this paper · explained in 4 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Perplexity — 1× in this paper · explained in 3 episodes

Sources

• Qwen2.5-Omni Technical Report
• MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks
• Efficient Weight factorization for Multilingual Speech Recognition
• LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
• StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
• Averaging Weights Leads to Wider Optima and Better Generalization
• Weight Factorization and Centralization for Continual Learning in Speech Recognition

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