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Tegawende Bissyande

Tegawende Bissyande has 3 papers in our library, in 2026, most of them on Machine translation, Low-resource languages, Language models & pretraining; often with Jacques Klein, Yewei Song, Saad Ezzini.

3 papers in our library · 2026

current affiliationUniversity of Luxembourg, Luxembourg, Luxembourg; Interdisciplinary Centre for Security, Reliability and Trust, Belval, Luxembourg

OpenAlex · ORCID · h-index 49 · 489 works · 9 351 citations OpenAlex, 2026-10-14

3 works in our library · 52 citations in our library · 11 more works in our library · ⭐ Paper Star rank #4972

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.

Topics

Machine translation2Low-resource languages2Language models & pretraining1Speech & spoken language1Evaluation & benchmarks1

Works by year

2020s

20263 papers

Papers

The most cited first (OpenAlex and our library).

  1. Are Small Language Models the Silver Bullet to Low-Resource Languages Machine Translation? (2026 · 3 citations)
    The paper examines whether compact language models can translate low-resource languages (LRLs) reliably. Such models are attractive where cost, latency, privacy or offline use matter, but they often hallucinate on underrepresented languages. The authors first benchmark several small decoder-only models (Llama-3.x…
  2. Contributing to Speech-to-Speech Translation for African Low-Resource Languages : Study of French-Mooré Pair (2026 · 1 citation)
    Mooré is Burkina Faso's most widely used local language, the primary language of about 52.9% of the population.
  3. Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost? (2026)
    This LREC 2026 paper asks whether LLMs can be given a stable, human-like Big Five personality. It also criticizes the common practice of scoring each OCEAN trait separately, where random guessing already reaches 50%. The authors fine-tune five models on the Essays Dataset (Pennebaker and King, 1999), in which every…

Also in our library

11 more works of theirs are in our library without a page here yet; they will appear as we publish them.

Co-authors here

3 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 52 times (of the 140 884 papers whose bibliographies we read); 8 citing papers with a page here →.

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