Zero-Shot Cue-Grounded Topic Segmentation of Spoken Documents

arXiv:2609.34425 · cs.CL, cs.AI · Submitted 2026-09-28 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/schoi828/CGS

Terminology

• Benchmark — 11× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Cue-Grounded Segmentation — 2× in this paper
• Transformer — 2× in this paper · explained in 2 episodes
• Automatic Speech Recognition (ASR) — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• LoRA Fine-Tuning — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Training-Free Framework — 1× in this paper · explained in 2 episodes

Sources

• TreeSeg: Hierarchical Topic Segmentation of Large Transcripts
• Topic Segmentation Using Generative Language Models
• Unsupervised Topic Segmentation of Meetings with BERT Embeddings
• Gemma 4 Technical Report

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