Xuan-Phi Nguyen
Xuan-Phi Nguyen has 3 papers in our library, in 2021–2023, most of them on Language models & pretraining, Discourse analysis, Summarization; often with Chenhui Shen, Liying Cheng, Guanzheng Chen.
OpenAlex · h-index 10 · 40 works · 278 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 292 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #4395
Affiliations
Concepts, shelves and topics
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksDiscourse analysis · 1 workSummarization · 1 work
Works by year
2020s
Papers
- Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization (2023 · 119 citations)
This paper asks whether LLMs such as ChatGPT and GPT-4 can take over from human annotators when judging abstractive summaries. - SeaLLMs — Large Language Models for Southeast Asia (2023 · 92 citations)
Mainstream LLMs are trained mostly on English. As a result, they handle Southeast Asian languages poorly, especially those written in non-Latin scripts, which standard BPE tokenizers break into very long token sequences. SeaLLMs are open models for Southeast Asian languages, built by adapting English-centric… - RST Parsing from Scratch (2021 · 44 citations)
The paper tackles document-level discourse parsing in the Rhetorical Structure Theory (RST) framework. Earlier systems first split the text into elementary discourse units (EDUs) with a separate segmenter and often depended on handcrafted features. The authors recast the whole task as a top-down sequence of splitting…
All works
- Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.Findings of the Association for Computational Linguistics · 119 citations
- SeaLLMs — Large Language Models for Southeast AsiaXuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.arXiv:2312.00738 · 92 citations
- Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization · original ↗ · no summary yet · arXiv:2305.13091 · Findings of EMNLP 2023Chenhui Shen et al.2023 · 75 citations
- Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts · original ↗ · no summary yet · Proceedings of the 62nd Annual Meeting of the Association for Computational…Xuan-Phi Nguyen et al.2024 · 55 citations
- RST Parsing from ScratchThanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty, et al.Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) · 44 citations
- A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems · original ↗ · no summary yet · arXiv:2504.09037Zixuan Ke et al.2025 · 38 citations
- Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction · original ↗ · no summary yet · Findings of the Association for Computational Linguistics: ACL 2026Zhenmei Shi et al.2026 · 12 citations
- J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Austin Xu et al.2026 · 3 citations
- Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Shrey Pandit et al.2026 · 2 citations
Co-authors here
- Chenhui Shen ×2
- Liying Cheng ×2
- Guanzheng Chen
- Jianyu Wang
- Lidong Bing
- Qingyu Tan
- Shafiq Joty
- Thanh-Tung Nguyen
- Wenxuan Zhang
- Xiaoli Li
- Xin Li
- Xingxuan Li
Venues
- Proceedings of the 62nd Annual Meeting of the Association… ×3
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
- Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2021
- Findings of the Association for Computational Linguistics…
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