---
title: "Who cites Towards Holistic Evaluation of — 7 citing papers"
description: "7 papers of the Elamur Research library cite «Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey»…"
canonical: "https://research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Towards Holistic Evaluation of Large…](https://md.research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/) / cited by

# Who cites «Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey»](https://md.research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/)

1. **[Octopus: Towards Building the Arabic Speech LLM Suite](https://md.research.elamur.ai/free/en/papers/althubaiti-2025-octopus-building-arabic-speech-llm/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Sara Althubaiti, Vasista Sai Lodagala, Tjad Clark, et al.*2025 · 2 citations*
2. **[mCS-LM: Multimodal Customer Service and Incident Management Systems Based on Large Language Models](https://md.research.elamur.ai/free/en/papers/morales-2026-mcs-lm-multimodal-customer-service/) [LANLP: Bridging Ibero and Latin American NLP Communities](https://md.research.elamur.ai/free/en/venues/lanlp/)**Carlos Díaz-Morales, Marcos Checa-Rubio, Tomás Bernal-Beltrán, et al.*2026*
3. **[RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic Scenarios](https://md.research.elamur.ai/free/en/papers/zhang-2026-rsa-bench-benchmarking-audio-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Zhang, Kaiwen Luo, Liang Lin, et al.*2026*

4 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/yang-2025-holistic-evaluation-large-audio-language/) — Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey