University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks. - Richard McCreadie; Romain Deveaud; M-Dyaa Albakour; Stuart Mackie; Nut Limsopatham; Craig Macdonald; Iadh Ounis; Thibaut Thonet; Bekir Taner Dinçer (TREC, 2014)

Suggestion contextuelle composite. - Thibaut Thonet; Romain Deveaud; Iadh Ounis; Craig Macdonald (CORIA, 2015)

VODUM: A Topic Model Unifying Viewpoint, Topic and Opinion Discovery. - Thibaut Thonet; Guillaume Cabanac; Mohand Boughanem; Karen Pinel-Sauvagnat (ECIR, 2016)

Users Are Known by the Company They Keep: Topic Models for Viewpoint Discovery in Social Networks. - Thibaut Thonet; Guillaume Cabanac; Mohand Boughanem; Karen Pinel-Sauvagnat (CIKM, 2017)

Modèles thématiques pour la découverte non supervisée de points de vue sur le Web. (Topic Models for Unsupervised Discovery of Viewpoints on the Web). - Thibaut Thonet (2017)

Deep k-Means: Jointly Clustering with k-Means and Learning Representations. - Maziar Moradi Fard; Thibaut Thonet; Éric Gaussier (CoRR, 2018)

University of Glasgow Terrier Team and Naver Labs Europe at TREC 2019 Fair Ranking Track. - Graham McDonald; Iadh Ounis; Craig Macdonald; Thibaut Thonet; Jean-Michel Renders (TREC, 2019)

Seed-Guided Deep Document Clustering. - Maziar Moradi Fard; Thibaut Thonet; Éric Gaussier (ECIR (1), 2020)

Multi-grouping Robust Fair Ranking. - Thibaut Thonet; Jean-Michel Renders (SIGIR, 2020)

Deep k-Means: Jointly clustering with k-Means and learning representations. - Maziar Moradi Fard; Thibaut Thonet; Éric Gaussier (Pattern Recognit. Lett., 2020)

GReS: Workshop on Graph Neural Networks for Recommendation and Search. - Thibaut Thonet; Stéphane Clinchant; Carlos Lassance; Elvin Isufi; Jiaqi Ma 001; Yutong Xie 007; Jean-Michel Renders; Michael M. Bronstein (RecSys, 2021)

SmoothI: Smooth Rank Indicators for Differentiable IR Metrics. - Thibaut Thonet; Yagmur Gizem Cinar; Éric Gaussier; Minghan Li 003; Jean-Michel Renders (CoRR, 2021)

Listwise Learning to Rank Based on Approximate Rank Indicators. - Thibaut Thonet; Yagmur Gizem Cinar; Éric Gaussier; Minghan Li 003; Jean-Michel Renders (AAAI, 2022)

Joint Personalized Search and Recommendation with Hypergraph Convolutional Networks. - Thibaut Thonet; Jean-Michel Renders; Mario Choi; Jinho Kim (ECIR (1), 2022)

Offline Evaluation for Reinforcement Learning-Based Recommendation: A Critical Issue and Some Alternatives. - Romain Deffayet; Thibaut Thonet; Jean-Michel Renders; Maarten de Rijke (SIGIR Forum, 2022)

Generative Slate Recommendation with Reinforcement Learning. - Romain Deffayet; Thibaut Thonet; Jean-Michel Renders; Maarten de Rijke (WSDM, 2023)

SARDINE: Simulator for Automated Recommendation in Dynamic and Interactive Environments. - Romain Deffayet; Thibaut Thonet; Dongyoon Hwang; Vassilissa Lehoux; Jean-Michel Renders; Maarten de Rijke (Trans. Recomm. Syst., 2024)

ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models. - Thibaut Thonet; Laurent Besacier; Jos Rozen (COLING, 2025)

Guaranteed Generation from Large Language Models. - Minbeom Kim; Thibaut Thonet; Jos Rozen; Hwaran Lee; Kyomin Jung; Marc Dymetman (ICLR, 2025)

FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data. - Thibaut Thonet; Germán Kruszewski; Jos Rozen; Pierre Erbacher; Marc Dymetman (CoRR, 2025)