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Tho Quan

Tho Quan has 2 papers in our library, in 2026, most of them on Question answering, Reasoning, Knowledge graphs & ontologies; often with Long S. T. Nguyen, Hieu Pham.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 21 · 228 works · 1,703 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11010

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. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Which Works Best for Vietnamese? A Practical Study of Information Retrieval Methods across Domains (2026 · 2 citations)
    Retrieval quality limits what a RAG-based question answering system can achieve. For Vietnamese, however, nobody had compared retrieval approaches across many domains in one consistent setup. Earlier work usually tested a single area, such as law, or used clean curated QA sets.
  2. HiGraAgent: Dual-Agent Adaptive Reasoning over Hierarchical Knowledge Graph for Open Domain Multi-hop Question Answering (2026 · 1 citation)
    Open-domain multi-hop QA is difficult for two reasons. Questions can have complex internal structure, and the supporting evidence is often spread over many passages. The authors argue that "multi-hopness" is not fixed by the question alone. It depends on how fragmented the available context is, and sequential…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training ↗arXiv:2401.04348 · no summary yetKhoi M.Le et al.2024 · 11 citations

 Co-authors here

2 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 3 times (of the 149,439 papers whose bibliographies we read).

Updated

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