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researcher

M. Grootendorst

3 papers hereh-index 123.5k citations50 works total

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

author position
  • sole author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3

identity via Semantic Scholar / OpenAlex

most citedBERTopic: Neural topic modeling with a class-based TF-IDF procedure

1.4k citations · 1.4k across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2026

DiffusionGemma Technical Report

DiffusionGemma Team, Adrien Ali Taïga, James Assiene +41

We introduce DiffusionGemma, an experimental open-weight language model that uses discrete diffusion to generate text at exceptionally high speed. Rather than decoding one token at…

cs.CL2026★ 3 cited

Gemma 4 Technical Report

Gemma Team, Sherif El Abd, Vaibhav Aggarwal +320

We introduce Gemma 4, a new generation of open-weight, natively multimodal language models in the Gemma model family. Designed to advance compute efficiency and reasoning, the Gemm…

cs.CL2022★ 1.4k cited

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Maarten Grootendorst

Topic models can be useful tools to discover latent topics in collections of documents. Recent studies have shown the feasibility of approach topic modeling as a clustering task. W…

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