---
title: "Who cites Advancing Singlish Understanding: — 5 citing papers"
description: "5 papers of the Elamur Research library cite «Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models»…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2025-advancing-singlish-understanding-bridging-gap/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wang-2025-advancing-singlish-understanding-bridging-gap/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Advancing Singlish Understanding: Bridging the…](https://md.research.elamur.ai/free/en/papers/wang-2025-advancing-singlish-understanding-bridging-gap/) / cited by

# Who cites «Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models»

5 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models»](https://md.research.elamur.ai/free/en/papers/wang-2025-advancing-singlish-understanding-bridging-gap/)

1. **[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/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chih-Kai Yang, Neo S. Ho, Hung-yi Lee*2025 · 17 citations*
2. [**MERaLiON-GR: Speech Gender Recognition Model for English and SEA Languages arXiv:2608.04433**Qiongqiong Wang, Ai Ti Aw, Nancy F. Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-meralion-gr-speech-gender-recognition/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wang-2025-advancing-singlish-understanding-bridging-gap/) — Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models