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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.

3 papers in our library · 2021–2023

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

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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…
  3. 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

9 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. SeaLLMs — Large Language Models for Southeast AsiaXuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.arXiv:2312.00738 · 92 citations
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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

12 of 15 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 292 times (of the 141,840 papers whose bibliographies we read); 34 citing papers with a page here →.

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