--- title: "Guilherme Silva — author profile and papers — Elamur Research" description: "Guilherme Silva: 3 papers on Elamur Research (2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/guilherme-silva/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/guilherme-silva/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Guilherme Silva # Guilherme Silva Guilherme Silva has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Matheus Peixoto](https://md.research.elamur.ai/free/en/authors/matheus-peixoto/), [Pedro Silva](https://md.research.elamur.ai/free/en/authors/pedro-silva/), [Eduardo Luz](https://md.research.elamur.ai/free/en/authors/eduardo-luz/). 3 papers in our library · 2026 No OpenAlex profile matched yet. [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/guilherme-silva/#papers) · [⭐ Paper Stars ranking: #11820](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11820) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Guilherme+Silva) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Guilherme+Silva) · [dblp](https://dblp.org/search?q=Guilherme+Silva) · [ACL Anthology](https://aclanthology.org/search/?q=Guilherme+Silva) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 2 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) 🧭 Topics 4 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/guilherme-silva/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Multitask Transformer for Offensive Language Detection and Target Identification in HateBR](https://md.research.elamur.ai/free/en/papers/silva-2026-multitask-transformer-offensive-language-detection/)** *(2026)* The paper argues that treating offensive language detection in Brazilian Portuguese as a single yes/no decision ignores the layered structure of toxicity. 2. **[Global vs. Local Sentence Embeddings for Brazilian Portuguese: Revisiting Monolingual Models in the Age of Foundation Models](https://md.research.elamur.ai/free/en/papers/peixoto-2026-global-vs-local-sentence-embeddings/)** *(2026)* The paper asks whether large multilingual ("global") foundation models, lightly adapted, can replace Portuguese-specialized ("local") models as sources of sentence embeddings for Brazilian Portuguese (PT-BR). 3. **[Lost in Quantization: Activation Outliers Explain Language-Specific FP8 Sensitivity in Llama-3](https://md.research.elamur.ai/free/en/papers/silva-2026-lost-quantization-activation-outliers-explain/)** *(2026)* Most evidence that 8-bit inference is nearly lossless comes from English evaluations, so it is unclear whether low-precision formats affect languages equally. The authors test Meta-Llama-3-8B on English and Brazilian Portuguese (PT-BR) under three regimes: ## Co-authors here 4 co-authors with a page, the most papers together first. - [Matheus Peixoto](https://md.research.elamur.ai/free/en/authors/matheus-peixoto/) ×3 - [Pedro Silva](https://md.research.elamur.ai/free/en/authors/pedro-silva/) ×3 - [Eduardo Luz](https://md.research.elamur.ai/free/en/authors/eduardo-luz/) ×2 - [Gladston Moreira](https://md.research.elamur.ai/free/en/authors/gladston-moreira/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/) ×3: [International Conference on Computational Processing of Portuguese 2026](https://md.research.elamur.ai/free/en/venues/propor/2026/) ×3 Updated 1 November 2026