---
title: "AiTi Aw — author profile and papers — Elamur Research"
description: "AiTi Aw, Agency for Science, Technology and Research: 3 papers on Elamur Research (2006–2025), h-index 19 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/aiti-aw/"
---
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# AiTi Aw

AiTi Aw has 3 papers in our library, in 2006–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/), [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/), [Zhengyuan Liu](https://md.research.elamur.ai/free/en/authors/zhengyuan-liu/).

3 papers in our library · 2006–2025

[OpenAlex](https://openalex.org/A5109309570) · [ORCID](https://orcid.org/0000-0002-2347-0879) · [**h-index 19**](https://openalex.org/authors/A5109309570) · [116 works](https://openalex.org/works?filter=author.id:A5109309570) · [1,369 citations](https://openalex.org/works?filter=author.id:A5109309570&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/aiti-aw/#papers) · [🔗 Cited 344 times in our library](https://md.research.elamur.ai/free/en/authors/aiti-aw/cited-by/) · [10 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3314](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3314)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=AiTi+Aw) · [Semantic Scholar](https://www.semanticscholar.org/search?q=AiTi+Aw) · [dblp](https://dblp.org/search?q=AiTi+Aw) · [ACL Anthology](https://aclanthology.org/search/?q=AiTi+Aw)

## Affiliations

[🔬**Institute for Infocomm Research** Singapore · Singapore 2006–2026 · 76 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-for-infocomm-research/) · [🏛️**Agency for Science, Technology and Research** Singapore · Singapore 2008–2026 · 50 papers*current*](https://md.research.elamur.ai/free/en/government/agency-for-science-technology-and-research/) · [🔬**Institute of Advanced Intelligence and Computing** Singapore · Singapore 2026 · 2 papers*current*](https://ror.org/01eczt548) · [🎓**National University of Singapore** Singapore · Singapore 2008–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

## Works by year

### 2020s

[**2025** 1 paper AudioBench: A Universal Benchmark for Audio Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-audiobench-universal-benchmark-audio-large/) · [**2024** 1 paper SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2024-seaeval-multilingual-foundation-models-cross/)

### 2000s

[**2006** 1 paper A Phrase-Based Statistical Model for SMS Text Normalization](https://md.research.elamur.ai/free/en/papers/aw-2006-phrase-based-statistical-model-sms/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Phrase-Based Statistical Model for SMS Text Normalization](https://md.research.elamur.ai/free/en/papers/aw-2006-phrase-based-statistical-model-sms/)** *(2006 · 356 citations)* SMS messages are full of ad-hoc short-forms, phonetic spellings, dropped words and missing punctuation, so off-the-shelf machine translation handles them poorly.
2. **[SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2024-seaeval-multilingual-foundation-models-cross/)** *(2024 · 85 citations)* SeaEval is a benchmark for multilingual foundation models. It addresses gaps that monolingual and bilingual test suites leave open, namely cultural comprehension and whether a model's knowledge stays the same across languages. The benchmark covers four capability areas: classic NLP tasks, complex reasoning, cultural…
3. **[AudioBench: A Universal Benchmark for Audio Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-audiobench-universal-benchmark-audio-large/)** *(2025 · 75 citations)* Audio Large Language Models (AudioLLMs) have been hard to compare because each one is reported on its own set of datasets. For example, Qwen-Audio-Chat and SALMONN share only two of their evaluation sets. AudioBench addresses this with a unified, open-source benchmark built around three abilities:

## All works

13 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[A Phrase-Based Statistical Model for SMS Text Normalization](https://md.research.elamur.ai/free/en/papers/aw-2006-phrase-based-statistical-model-sms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**AiTi Aw, Min Zhang, Juan Xiao, et al.*2006 · 356 citations*
2. **[A Tree Sequence Alignment-based Tree-to-Tree Translation Model](https://aclanthology.org/P08-1064/) Proceedings of ACL-08: HLT · original ↗ · no summary yet**Min Zhang et al.*2008 · 172 citations*
3. **[SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2024-seaeval-multilingual-foundation-models-cross/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bin Wang, Zhengyuan Liu, Xin Huang, et al.*2024 · 85 citations*
4. **[AudioBench: A Universal Benchmark for Audio Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-audiobench-universal-benchmark-audio-large/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Bin Wang, Xunlong Zou, Geyu Lin, et al.*2025 · 75 citations*
5. **[A tree-to-tree alignment-based model for statistical machine translation](https://aclanthology.org/2007.mtsummit-papers.71/) Proceedings of Machine Translation Summit XI: Papers · original ↗ · no summary yet**Min Zhang et al.*2007 · 70 citations*
6. **[Forest-based Tree Sequence to String Translation Model](https://aclanthology.org/P09-1020/) Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP · original ↗ · no summary yet**Hui Zhang et al.*2009 · 50 citations*
7. **[A Syntax-Driven Bracketing Model for Phrase-Based Translation](https://aclanthology.org/P09-1036/) Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP · original ↗ · no summary yet**Deyi Xiong et al.*2009 · 36 citations*
8. **[Singlish Message Paraphrasing: A Joint Task of Creole Translation and Text Normalization](https://aclanthology.org/2022.coling-1.345/) Proceedings of the 29th International Conference on Computational Linguistics · original ↗ · no summary yet**Zhengyuan Liu et al.*2022 · 16 citations*
9. **[Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach](https://aclanthology.org/D19-1087/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · original ↗ · no summary yet**Wenqiang Lei et al.*2019 · 11 citations*
10. **[Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models](https://arxiv.org/abs/2501.01034) arXiv:2501.01034 · original ↗ · no summary yet**Bin Wang et al.*2025 · 7 citations*
11. **[MERaLiON-GR: Speech Gender Recognition Model for English and SEA Languages](https://arxiv.org/abs/2608.04433) arXiv:2608.04433 · original ↗ · no summary yet**Qiongqiong Wang et al.*2026*
12. **[MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA Languages](https://arxiv.org/abs/2511.04914) arXiv:2511.04914 · original ↗ · no summary yet**Hardik B. Sailor et al.*2025*
13. **[A Benchmark for Translations Across Styles and Language Variants](https://aclanthology.org/2025.findings-emnlp.129/) Findings of the Association for Computational Linguistics: EMNLP 2025 · original ↗ · no summary yet**Xin Tan, Bowei Zou, AiTi Aw*2025*

## Co-authors here

6 co-authors with a page, the most papers together first.

- [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/) ×2
- [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/) ×2
- [Zhengyuan Liu](https://md.research.elamur.ai/free/en/authors/zhengyuan-liu/) ×2
- [Jian Su](https://md.research.elamur.ai/free/en/authors/jian-su/)
- [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/)
- [Shuo Sun](https://md.research.elamur.ai/free/en/authors/shuo-sun/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/) ×2: [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/), [NAACL 2024](https://md.research.elamur.ai/free/en/venues/naacl/2024/)
- Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2006](https://md.research.elamur.ai/free/en/venues/acl/2006/)
- Findings of the Association for Computational Linguistics: EMNLP 2025
- Proceedings of ACL-08: HLT
- Proceedings of Machine Translation Summit XI: Papers
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Proceedings of the 29th International Conference on Computational Linguistics

## Cited by

Papers of our library cite their works 344 times (of the 141,840 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/aiti-aw/cited-by/).

Updated 24 October 2026
