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README.md

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-license: cc-by-nc-4.0
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+# LAT-Audio-Base
+
+## Overview
+
+LAT-Audio is a large audio-language model designed for **precise temporal awareness in long-form audio understanding**.
+
+Unlike existing models that degrade on long audio, LAT-Audio introduces a **progressive global-to-local reasoning paradigm**, enabling models to maintain temporal consistency over audio up to 30 minutes.
+
+The core idea is to first construct a **global timeline** that captures the temporal-semantic structure of the audio, and then perform **task-specific reasoning** grounded on this timeline.  
+During reasoning, LAT-Audio iteratively incorporates audio evidence through a **Think-With-Audio Chain-of-Thought (TWA-CoT)** process, which significantly reduces:
+
+- temporal hallucination (invalid timestamps)
+- timestamp drift (progressive misalignment over time)
+
+
+
+## Model Description
+
+LAT-Audio formulates long-form audio understanding as a structured reasoning process:
+
+1. **Global Timeline Construction**  
+   The model summarizes the audio into a coarse temporal structure.
+
+2. **Global-to-Local Reasoning**  
+   Downstream tasks are performed conditioned on the global timeline.
+
+3. **Think-With-Audio Chain-of-Thought (TWA-CoT)**  
+   The model iteratively retrieves local audio segments and refines its reasoning with grounded evidence.
+
+This design enables robust temporal reasoning under long-context settings, where conventional direct modeling approaches often fail.
+
+<p align="center">
+  <img src="./Figures/LAT-Audio.png" width="1200"/>
+  <em>Figure 1: Overall framework of LAT-Audio.</em>
+</p>
+
+## Model Variants
+
+We provide two model variants:
+| Model | Reasoning | Training Data | Description |
+|------|----------|--------------|-------------|
+| **LAT-Audio** | ✅ Yes | LAT-Chronicle | Tool-augmented multi-step reasoning model with global-to-local temporal inference |
+| **LAT-Audio-Base** | ❌ No | LAT-Chronicle + in-house | Direct modeling baseline fine-tuned from Qwen3-Omni with more in-house data, offering faster and simpler inference |
+
+
+
+## Quick Start
+
+
+Download through Hugging Face
+```
+pip install -U "huggingface_hub[cli]"
+huggingface-cli download mcshao/LAT-Audio --local-dir ./LAT-Audio
+huggingface-cli download mcshao/LAT-Audio-Base --local-dir ./LAT-Audio-Base
+```
+
+For detailed inference methods and examples, please refer to the official repository:
+👉 https://github.com/alanshaoTT/LAT-Audio-Repo
+
+
+
+## Contact
+
+For questions, feedback, or collaboration:
+
+📧 mcshao@mail.nwpu.edu.cn