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Bonaventure F. P. Dossou

Artificial Intelligence Research @ McGill University @ Mila Quebec AI Institute @The World Bank Group

34 papers hereh-index 181.9k citations40 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author12
  • middle author16
  • last author3

Across the 32 of 34 papers where every author was matched, so the position is known.

fields
  • cs.CL25
  • cs.LG2
  • q-bio.BM2
  • cs.AI1
  • cs.CV1
  • cs.CY1
affiliations
  • Artificial Intelligence Research @ McGill University @ Mila Quebec AI Institute @The World Bank Group
Homepage
same name
  • Bonaventure F. P. Dossou — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedQuality at a Glance: An Audit of Web-Crawled Multilingual Datasets

177 citations · 300 across the 31 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

3 papers · 2 filters

cs.CL2024★ 7 cited

AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset

Tobi Olatunji, Charles Nimo, Abraham Owodunni +23

Recent advancements in large language model(LLM) performance on medical multiple choice question (MCQ) benchmarks have stimulated interest from healthcare providers and patients gl…

cs.CL2024

CodeUnlearn: Amortized Zero-Shot Machine Unlearning in Language Models Using Discrete Concept

YuXuan Wu, Bonaventure F. P. Dossou, Dianbo Liu

Large Language Models (LLMs) offer extensive knowledge across various domains, but they may inadvertently memorize sensitive, unauthorized, or malicious data, such as personal info…

cs.CL2024★ 1 cited

InkubaLM: A small language model for low-resource African languages

Atnafu Lambebo Tonja, Bonaventure F. P. Dossou, Jessica Ojo +8

High-resource language models often fall short in the African context, where there is a critical need for models that are efficient, accessible, and locally relevant, even amidst s…

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