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Thuy-Trang Vu

Thuy-Trang Vu has 3 papers in our library, in 2026, most of them on Discourse analysis, Evaluation & benchmarks, Reasoning; often with Gholamreza Haffari, Minghan Wang, Viet Thanh Pham.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 9 · 54 works · 179 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 7 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11405

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.

 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. Discourse Graph Guided Document Translation with Large Language Models (2026 · 1 citation)
    LLMs struggle to translate full documents because connections between distant passages, such as recurring entities, terminology and rhetorical structure, tend to get lost.
  2. LiveCultureBench: a Multi-Agent, Multi-Cultural Benchmark for Large Language Models in Dynamic Social Simulations (2026)
    LLM-based agents are usually judged by whether they finish tasks. Static benchmarks such as CDEval and NormAd test cultural knowledge, but they cannot show how cultural misalignment appears when an agent pursues goals over time. LiveCultureBench fills this gap. It places a target LLM agent in a simulated small city…
  3. Towards Inference-time Scaling for Continuous Space Reasoning (2026)
    The paper asks whether standard test-time scaling for text reasoning carries over to models that reason in latent space.

All works

4 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. Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetMinghan Wang et al.2025 · 11 citations

 Co-authors here

6 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 7 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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