---
title: "Anh Tuan Luu — all works — Elamur Research"
description: "All 28 works of Anh Tuan Luu in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Anh Tuan Luu — all works

28 works · [← Anh Tuan Luu](https://md.research.elamur.ai/free/en/authors/anh-tuan-luu/)

1. **[Reasoning with Sarcasm by Reading In-Between](https://md.research.elamur.ai/free/en/papers/tay-2018-reasoning-sarcasm-reading-between/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Tay, Anh Tuan Luu, Siu Cheung Hui, et al.*2018 · 248 citations*
2. **[Fact-Checking Complex Claims with Program-Guided Reasoning](https://md.research.elamur.ai/free/en/papers/pan-2023-fact-checking-complex-claims-program/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.*2023 · 146 citations*
3. **[Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges ↗](https://aclanthology.org/2024.findings-acl.97/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Bosheng Ding et al.*2024 · 139 citations*
4. **[Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives ↗](https://aclanthology.org/P19-1486/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yi Tay et al.*2019 · 133 citations*
5. **[ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models ↗](https://doi.org/10.18653/v1/2024.findings-acl.122) arXiv:2310.08975 · ACL 2024 · no summary yet**Haoran Luo et al.*2023 · 129 citations*
6. **[Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference ↗](https://aclanthology.org/D18-1185/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yi Tay, Anh Tuan Luu, Siu Cheung Hui*2018 · 115 citations*
7. **[Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks ↗](https://aclanthology.org/P19-1145/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yi Tay et al.*2019 · 76 citations*
8. **[Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2025-is-translation-all-you-need/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, et al.*2025 · 61 citations*
9. **[Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains ↗](https://doi.org/10.24963/ijcai.2018/615) International Joint Conference on Artificial Intelligence · no summary yet**Yi Tay, Anh Tuan Luu, Siu Cheung Hui*2018 · 59 citations*
10. **[Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters ↗](https://arxiv.org/abs/2102.08597) arXiv (Cornell University) · no summary yet**Aston Zhang et al.*2021 · 57 citations*
11. **[Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences ↗](https://aclanthology.org/D18-1479/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yi Tay, Anh Tuan Luu, Siu Cheung Hui*2018 · 47 citations*
12. **[Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges ↗](https://arxiv.org/abs/2403.02990) arXiv:2403.02990 · no summary yet**Bosheng Ding et al.*2024 · 32 citations*
13. **[Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification ↗](https://aclanthology.org/D18-1381/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yi Tay et al.*2018 · 29 citations*
14. **[Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction ↗](https://doi.org/10.1145/3018661.3018695) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Yi Tay et al.*2017 · 23 citations*
15. **[Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences ↗](https://aclanthology.org/2020.acl-main.477/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yi Tay et al.*2020 · 22 citations*
16. **[Holistic Multi-Modal Memory Network for Movie Question Answering ↗](https://doi.org/10.1109/tip.2019.2931534) IEEE Transactions on Image Processing · no summary yet**Anran Wang et al.*2019 · 22 citations*
17. **[Compositional De-Attention Networks ↗](https://openalex.org/W2970288142) neural information processing systems · no summary yet**Yi Tay et al.*2019 · 18 citations*
18. **[Holographic Factorization Machines for Recommendation ↗](https://doi.org/10.1609/aaai.v33i01.33015143) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yi Tay et al.*2019 · 18 citations*
19. **[LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models](https://md.research.elamur.ai/free/en/papers/hu-2025-longrecipe-recipe-efficient-long-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Hu, Yuliang Liu, Jinman Zhao, et al.*2025 · 16 citations*
20. **[Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension ↗](https://aclanthology.org/D18-1238/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yi Tay, Anh Tuan Luu, Siu Cheung Hui*2018 · 15 citations*
21. **[AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge](https://md.research.elamur.ai/free/en/papers/wu-2025-antileakbench-preventing-data-contamination-automatically/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaobao Wu, Liangming Pan, Yuxi Xie, et al.*2025 · 12 citations*
22. **[LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training ↗](https://doi.org/10.1609/aaai.v38i16.29804) arXiv:2401.04348 · no summary yet**Khoi M.Le et al.*2024 · 11 citations*
23. **[Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective](https://md.research.elamur.ai/free/en/papers/zhang-2025-diffusion-vs-autoregressive-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.*2025 · 10 citations*
24. **[MUR: Momentum Uncertainty guided Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/yan-2026-mur-momentum-uncertainty-guided-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hang Yan, Fangzhi Xu, Rongman Xu, et al.*2026 · 8 citations*
25. **[FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving](https://md.research.elamur.ai/free/en/papers/chen-2025-finereason-evaluating-improving-llms-deliberate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guizhen Chen, Weiwen Xu, Hao Zhang, et al.*2025 · 6 citations*
26. **[Translational Recommender Networks. ↗](https://arxiv.org/abs/1707.05176) arXiv (Cornell University) · no summary yet**Yi Tay, Anh Tuan Luu, Siu Cheung Hui*2017 · 5 citations*
27. **[P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs](https://md.research.elamur.ai/free/en/papers/zhao-2026-p2p-poison-poison-remedy-reliable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shuai Zhao, Xinyi Wu, Shiqian Zhao, et al.*2026 · 3 citations*
28. **[Learning Uncertainty from Sequential Internal Dispersion in Large Language Models](https://md.research.elamur.ai/free/en/papers/srey-2026-learning-uncertainty-sequential-internal-dispersion/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen, et al.*2026*