---
title: "Thomas Laurent — author profile and papers in our library"
description: "Thomas Laurent, Trinity College Dublin: 2 papers on Elamur Research (2023–2024), h-index 28 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/thomas-laurent/"
---
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# Thomas Laurent

Thomas Laurent has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Bryan Hooi](https://md.research.elamur.ai/free/en/authors/bryan-hooi/), [Xavier Bresson](https://md.research.elamur.ai/free/en/authors/xavier-bresson/), [Xiaoxin He](https://md.research.elamur.ai/free/en/authors/xiaoxin-he/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5024411628) · [ORCID](https://orcid.org/0000-0002-0953-774X) · [**h-index 28**](https://openalex.org/authors/A5024411628) · [100 works](https://openalex.org/works?filter=author.id:A5024411628) · [3,372 citations](https://openalex.org/works?filter=author.id:A5024411628&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/thomas-laurent/#papers) · [🔗 Cited 190 times in our library](https://md.research.elamur.ai/free/en/authors/thomas-laurent/cited-by/) · [⭐ Paper Stars ranking: #5458](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5458)

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=Thomas+Laurent) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Thomas+Laurent) · [dblp](https://dblp.org/search?q=Thomas+Laurent) · [ACL Anthology](https://aclanthology.org/search/?q=Thomas+Laurent)

## Affiliations

[🎓**Trinity College Dublin** Dublin · Ireland 2024–2026 · 19 papers*current*](https://md.research.elamur.ai/free/en/universities/trinity-college-dublin/) · [🎓**Loyola Marymount University** Los Angeles · United States 2014–2026 · 16 papers*current*](https://ror.org/00xhj8c72) · [🎓**Dublin City University** Dublin · Ireland 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/dublin-city-university/) · [🔬**Lero** Limerick · Ireland 2026 · 1 paper*current*](https://ror.org/038dhnb42) · [🎓**University College Dublin** Dublin · Ireland 2016–2022 · 19 papers](https://md.research.elamur.ai/free/en/universities/university-college-dublin/) · [🔬**National Institute of Informatics** Tokyo · Japan 2019–2024 · 8 papers](https://md.research.elamur.ai/free/en/labs/national-institute-of-informatics/) · [🎓**University of California, Riverside** Riverside · United States 2011–2014 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-riverside/) · [🎓**Keio University** Tokyo · Japan 2016–2018 · 7 papers](https://md.research.elamur.ai/free/en/universities/keio-university/) · [🤝**Japan Society for the Promotion of Science** Tokyo · Japan 2023–2024 · 5 papers](https://ror.org/00hhkn466) · [🎓**École Centrale de Nantes** Nantes · France 2016–2017 · 3 papers](https://md.research.elamur.ai/free/en/universities/ecole-centrale-de-nantes/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Retrieval-augmented generation · 1 work](https://md.research.elamur.ai/free/en/concepts/retrieval-augmented-generation/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/thomas-laurent/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/thomas-laurent/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering](https://md.research.elamur.ai/free/en/papers/he-2024-g-retriever-retrieval-augmented-generation/)** *(2024 · 236 citations)* This work targets question answering over real-world graphs whose nodes and edges carry text. Earlier LLM–GNN combinations mostly handled standard classification or toy queries on small synthetic graphs. The authors assemble a GraphQA benchmark from three sources: ExplaGraphs (commonsense reasoning), SceneGraphs…
2. **[Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning](https://md.research.elamur.ai/free/en/papers/he-2023-harnessing-explanations-llm-lm-interpreter/)** *(2023 · 75 citations)* Text-attributed graphs (TAGs), such as citation networks where each node carries a title and abstract, are usually handled by GNNs fed with shallow text features (bag-of-words, skip-gram) or by heavy LM+GNN pipelines that need logits or embeddings, which commercial LLMs do not expose.

## Co-authors here

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

- [Bryan Hooi](https://md.research.elamur.ai/free/en/authors/bryan-hooi/) ×2
- [Xavier Bresson](https://md.research.elamur.ai/free/en/authors/xavier-bresson/) ×2
- [Xiaoxin He](https://md.research.elamur.ai/free/en/authors/xiaoxin-he/) ×2
- [Yann LeCun](https://md.research.elamur.ai/free/en/authors/yann-lecun/) ×2
- [Nitesh V. Chawla](https://md.research.elamur.ai/free/en/authors/nitesh-v-chawla/)
- [Yijun Tian](https://md.research.elamur.ai/free/en/authors/yijun-tian/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)

## Cited by

Papers of our library cite their works 190 times (of the 149,439 papers whose bibliographies we read); [47 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/thomas-laurent/cited-by/).

Updated 2 November 2026
