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A reading list for trustworthy audio large language models.
| Date | Stars |
|---|---|
| 2026-07-31 | 256 |
| 2026-08-02 | 257 |
| 2026-08-06 | 257 |
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# 🎧 Awesome Trustworthy Audio-LLMs
<div align="center">
<img src="./images/logo.png" alt="Awesome Trustworthy Audio-LLMs" width="40%" style="margin-top: -20px; margin-bottom: -10px;">
</div>
<p align="center">
<a href="https://arxiv.org/abs/2605.20266"> <img src="https://img.shields.io/badge/arXiv-Paper-b31b1b?style=flat-square&logo=arxiv" alt="arXiv"></a>
<a href="https://huggingface.co/papers/2605.20266"> <img src="https://img.shields.io/badge/Hugging%20Face-Resources-ffd21e?style=flat-square&logo=huggingface" alt="Hugging Face"></a>
<a href=""> <img src="https://img.shields.io/github/stars/Kwwwww74/Awesome-Trustworthy-AudioLLMs?style=flat-square&logo=github" alt="GitHub stars"></a>
<a href=""> <img src="https://img.shields.io/github/forks/Kwwwww74/Awesome-Trustworthy-AudioLLMs?style=flat-square&logo=github" alt="GitHub forks"></a>
<a href=""> <img src="https://img.shields.io/github/issues/Kwwwww74/Awesome-Trustworthy-AudioLLMs?style=flat-square&logo=github" alt="GitHub issues"></a>
<a href=""> <img src="https://img.shields.io/github/last-commit/Kwwwww74/Awesome-Trustworthy-AudioLLMs?style=flat-square&logo=github" alt="GitHub Last commit"></a>
</p>
*A curated and continuously evolving collection of research papers, benchmarks, datasets, and open resources on Trustworthy Audio Large Language Models, covering the full spectrum of safety, robustness, and reliability in audio large models. The collection also includes representative works on audio large models beyond the safety domain.*
---
## 🌍Introduction
With the rapid developmenst of **Audio Large Language Models (Audio-LLMs)**, ensuring their **trustworthiness and safety** has become an essential research frontier.
This repository(TALLM) serves as a **comprehensive and community-driven hub** for tracking progress in the field of **trustworthy audio intelligence**.
It highlights research on:
- 🛡️ **Safety**
- ⚖️ **Fairness**
- 🔮 **Hallucination**
- 🔐 **Privacy**
- ⚙️ **Robustness**
- 💡 **Interpretability**
- 💻 **Security**
- ...
Together, these works aim toward a future where Audio-LLMs are **not only capable of understanding voices — but also worthy of being trusted**.
---
## 📌 Table of Content
- [🧭 Research Collections](#-research-collections)
- [🎒Good Papers](#-good-papers)
- [🗞️ Recent News](#-recent-news)
- [🤝 How to Contribute](#-how-to-contribute)
- [💬 LLM Safety Discussion](#-llm-safety-discussion)
- [🌟 Rising Stars](#-rising-stars)
- [🙏Acknowledgement](#-acknowledgement)
---
## 🧭 Research Collections
- Paper
- A. Safety
- [📖A1. General](./papers/safety/general.md)
- [✏️A2. Jailbreak](./papers/safety/jailbreak.md)
- [🏫A3. Alignment](./papers/safety/alignment.md)
- [📚A4. Deepfake](./papers/safety/deepfake.md)
- [🎒A5. Prompt Injection](./papers/safety/prompt_injection.md)
- [🧑🏫A6. Defense](./papers/safety/defense.md)
- B. Security
- [📖B1. General](./papers/security/general.md)
- [✏️B2. Adversarial Examples](./papers/security/adversarial_examples.md)
- [🏫B3. Attack](./papers/security/attack.md)
- [📚B4. Poison & Backdoor](./papers/security/poison_and_backdoor.md)
- C. Privacy
- [📖C1. General](./papers/privacy/general.md)
- D. Interpretability
- [📖D1. General](./papers/interpretability/general.md)
- E. Fairness
- [📖E1. General](./papers/fairness/general.md)
- F Hallucination
- [📖F1. General](./papers/hallucination/general.md)
- G Robustness
- [📖G1.General](./papers/robustness/general.md)
### In addition to the above-mentioned ones:
If you want to learn more about Audio Large Language Models, you can take a look at the following.
- 🚀 [Survey](collections/survey.md)
- 🚀 [Technical Report for Audio Large Language Models](collections/technical_report.md)
- 🚀 [Toolkit](collections/toolkit.md)
- 🚀 [Benchmark](collections/benchmark.md)
- 🚀 [Capability](collections/capability.md)
- 🚀 [TTS](collectioExcerpt of 6,607 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
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