Listen, Reason, and Segment: Aligning LALMs with Editorial Judgment for Media Chapterization
cs.SD, cs.AI, cs.CL, eess.AS
Submitted: 2026-08-17
Updated: 2026-10-11
Code: https://github.com/ta012/AudioChaps
Sources
- PAL: Probing Audio Encoders via LLMs -- Audio Information Transfer into LLMs
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- Qwen2-Audio Technical Report
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
- Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities
- Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models
- MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix
- Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
- Isambard-AI: a leadership class supercomputer optimised specifically for Artificial Intelligence
- ARC-Chapter: Structuring Hour-Long Videos into Navigable Chapters and Hierarchical Summaries
- Robust Speech Recognition via Large-Scale Weak Supervision
- MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models
- Step-Audio-R1 Technical Report
- MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark
- Qwen3-Omni Technical Report
- Qwen3 Technical Report
- VidChapters-7M: Video Chapters at Scale
- MOSS-Audio Technical Report
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