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Lesly Miculicich

Lesly Miculicich has 2 papers in our library, in 2018–2024, most of them on Machine translation, Reasoning; often with Chen-Yu Lee, Chun-Liang Li, Hao Zhang.

2 papers in our library · 2018–2024

OpenAlex · h-index 8 · 34 works · 426 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 253 times in our library · ⭐ Paper Stars ranking: #4169

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

🏢GoogleMountain View · United States2024–2026 · 6 paperscurrent🔬Idiap Research InstituteMartigny-Combe · Switzerland2018–2023 · 9 papers🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2018–2020 · 8 papers🏢MicrosoftRedmond · United States2022–2023 · 3 papers

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.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Machine translation · 1 workReasoning · 1 work

 Works by year

2020s

20241 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Document-Level Neural Machine Translation with Hierarchical Attention Networks (2018 · 415 citations)
    Standard NMT systems translate each sentence in isolation. This ignores discourse links and can hurt the cohesion of a translated document. The authors add document context to a Transformer through a hierarchical attention network (HAN) that reuses the model's own hidden states from the k previous sentences instead…
  2. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding (2024 · 105 citations)
    Large language models can answer questions about tables and check claims against them. However, common reasoning methods record intermediate steps either as plain text (Chain-of-Thought) or as one generated program such as SQL. Both approaches struggle with messy tables, for example when a single cell combines a name…

 Co-authors here

12 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 253 times (of the 149,439 papers whose bibliographies we read); 52 citing papers with a page here →.

Updated

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