Towards a Better Understanding of the Relationship between Probabilistic Models in IR. - Robin Aly; Thomas Demeester (ICTIR, 2011)

What Snippets Say about Pages in Federated Web Search. - Thomas Demeester; Dong Nguyen 002; Dolf Trieschnigg; Chris Develder; Djoerd Hiemstra (AIRS, 2012)

Federated search in the wild: the combined power of over a hundred search engines. - Dong Nguyen 002; Thomas Demeester; Dolf Trieschnigg; Djoerd Hiemstra (CIKM, 2012)

UGent Participation in the TAC 2012 Entity-Linking Task. - Laurent Mertens; Thomas Demeester; Johannes Deleu; Chris Develder; Piet Demeester (TAC, 2012)

UGent Participation in the Microblog Track 2012. - Thong Hoang Van Duc; Thomas Demeester; Johannes Deleu; Piet Demeester; Chris Develder (TREC, 2012)

What Snippets Say About Pages. - Thomas Demeester; Dong Nguyen 002; Dolf Trieschnigg; Chris Develder; Djoerd Hiemstra (DIR, 2013)

Snippet-Based Relevance Predictions for Federated Web Search. - Thomas Demeester; Dong Nguyen 002; Dolf Trieschnigg; Chris Develder; Djoerd Hiemstra (ECIR, 2013)

Taily: shard selection using the tail of score distributions. - Robin Aly; Djoerd Hiemstra; Thomas Demeester (SIGIR, 2013)

UGent Participation in the TAC 2013 Entity-Linking Task. - Laurent Mertens; Thomas Demeester; Johannes Deleu; Chris Develder (TAC, 2013)

Mirex and Taily at TREC 2013. - Robin Aly; Djoerd Hiemstra; Dolf Trieschnigg; Thomas Demeester (TREC, 2013)

Overview of the TREC 2013 Federated Web Search Track. - Thomas Demeester; Dolf Trieschnigg; Dong Nguyen 002; Djoerd Hiemstra (TREC, 2013)

Aligning Vertical Collection Relevance with User Intent. - Ke Zhou 003; Thomas Demeester; Dong Nguyen 002; Djoerd Hiemstra; Dolf Trieschnigg (CIKM, 2014)

Assessing Quality of Unsupervised Topics in Song Lyrics. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Laurent Mertens; Chris Develder (ECIR, 2014)

On the robustness of event detection evaluation: a case study. - Matthias Feys; Thomas Demeester; Blaz Fortuna; Johannes Deleu; Chris Develder (FIRE, 2014)

Entity Linking: Test Collections Revisited. - Laurent Mertens; Thomas Demeester; Johannes Deleu; Matthias Feys; Chris Develder (FIRE, 2014)

Overview of the TREC 2014 Federated Web Search Track. - Thomas Demeester; Dolf Trieschnigg; Dong Nguyen 002; Djoerd Hiemstra; Ke Zhou 003 (TREC, 2014)

Exploiting user disagreement for web search evaluation: an experimental approach. - Thomas Demeester; Robin Aly; Djoerd Hiemstra; Dong Nguyen 002; Dolf Trieschnigg; Chris Develder (WSDM, 2014)

Detecting Newsworthy Topics in Twitter. - Steven Van Canneyt; Matthias Feys; Steven Schockaert; Thomas Demeester; Chris Develder; Bart Dhoedt (SNOW-DC@WWW, 2014)

Probabilistic models in IR and their relationships. - Robin Aly; Thomas Demeester; Stephen Robertson (Inf. Retr., 2014)

Learning Semantic Similarity for Very Short Texts. - Cedric De Boom; Steven Van Canneyt; Steven Bohez; Thomas Demeester; Bart Dhoedt (ICDM Workshops, 2015)

Ghent University - IBCN Participation in the TAC KBP 2015 Cold Start Slot Filling task. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (TAC, 2015)

FedWeb Greatest Hits: Presenting the New Test Collection for Federated Web Search. - Thomas Demeester; Dolf Trieschnigg; Dong Nguyen 002; Djoerd Hiemstra; Ke Zhou 003 (WWW (Companion Volume), 2015)

Topical Word Importance for Fast Keyphrase Extraction. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (WWW (Companion Volume), 2015)

When Topic Models Disagree: Keyphrase Extraction with Multiple Topic Models. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (WWW (Companion Volume), 2015)

Regularizing Relation Representations by First-order Implications. - Thomas Demeester; Tim Rocktäschel; Sebastian Riedel 001 (AKBC@NAACL-HLT, 2016)

Lifted Rule Injection for Relation Embeddings. - Thomas Demeester; Tim Rocktäschel; Sebastian Riedel 001 (EMNLP, 2016)

Supervised Keyphrase Extraction as Positive Unlabeled Learning. - Lucas Sterckx; Cornelia Caragea; Thomas Demeester; Chris Develder (EMNLP, 2016)

An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks. - Baptist Vandersmissen; Lucas Sterckx; Thomas Demeester; Azarakhsh Jalalvand; Wesley De Neve; Rik Van de Walle (ICMR, 2016)

Efficiency Evaluation of Character-level RNN Training Schedules. - Cedric De Boom; Sam Leroux; Steven Bohez; Pieter Simoens; Thomas Demeester; Bart Dhoedt (CoRR, 2016)

Resource Selection for Federated Search on the Web. - Dong Nguyen 002; Thomas Demeester; Dolf Trieschnigg; Djoerd Hiemstra (CoRR, 2016)

Predicting relevance based on assessor disagreement: analysis and practical applications for search evaluation. - Thomas Demeester; Robin Aly; Djoerd Hiemstra; Dong Nguyen 002; Chris Develder (Inf. Retr. J., 2016)

Knowledge base population using semantic label propagation. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (Knowl. Based Syst., 2016)

Representation learning for very short texts using weighted word embedding aggregation. - Cedric De Boom; Steven Van Canneyt; Thomas Demeester; Bart Dhoedt (Pattern Recognit. Lett., 2016)

Reconstructing the house from the ad: Structured prediction on real estate classifieds. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (EACL (2), 2017)

Break it Down for Me: A Study in Automated Lyric Annotation. - Lucas Sterckx; Jason Naradowsky; Bill Byrne; Thomas Demeester; Chris Develder (EMNLP, 2017)

Adversarial Sets for Regularising Neural Link Predictors. - Pasquale Minervini; Thomas Demeester; Tim Rocktäschel; Sebastian Riedel 001 (UAI, 2017)

Predicting Psychological Health from Childhood Essays. The UGent-IDLab CLPsych 2018 Shared Task System. - Klim Zaporojets; Lucas Sterckx; Johannes Deleu; Thomas Demeester; Chris Develder (CLPsych@NAACL-HTL, 2018)

Jack the Reader - A Machine Reading Framework. - Dirk Weissenborn; Pasquale Minervini; Isabelle Augenstein; Johannes Welbl; Tim Rocktäschel; Matko Bosnjak; Jeff Mitchell 001; Thomas Demeester; Tim Dettmers; Pontus Stenetorp; Sebastian Riedel 001 (ACL (4), 2018)

Predefined Sparseness in Recurrent Sequence Models. - Thomas Demeester; Johannes Deleu; Fréderic Godin; Chris Develder (CoNLL, 2018)

Adversarial training for multi-context joint entity and relation extraction. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (EMNLP, 2018)

Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? - Fréderic Godin; Kris Demuynck; Joni Dambre; Wesley De Neve; Thomas Demeester (EMNLP, 2018)

DeepProbLog: Neural Probabilistic Logic Programming. - Robin Manhaeve; Sebastijan Dumancic; Angelika Kimmig; Thomas Demeester; Luc De Raedt (NeurIPS, 2018)

Prior Attention for Style-aware Sequence-to-Sequence Models. - Lucas Sterckx; Johannes Deleu; Chris Develder; Thomas Demeester (CoRR, 2018)

An attentive neural architecture for joint segmentation and parsing and its application to real estate ads. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (Expert Syst. Appl., 2018)

Joint entity recognition and relation extraction as a multi-head selection problem. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (Expert Syst. Appl., 2018)

Creation and evaluation of large keyphrase extraction collections with multiple opinions. - Lucas Sterckx; Thomas Demeester; Johannes Deleu; Chris Develder (Lang. Resour. Evaluation, 2018)

Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales. - Cedric De Boom; Rohan Agrawal; Samantha Hansen; Esh Kumar; Romain Yon; Ching-Wei Chen; Thomas Demeester; Bart Dhoedt (Multim. Tools Appl., 2018)

Modeling and predicting the popularity of online news based on temporal and content-related features. - Steven Van Canneyt; Philip Leroux; Bart Dhoedt; Thomas Demeester (Multim. Tools Appl., 2018)

Time-to-Birth Prediction Models and the Influence of Expert Opinions. - Gilles Vandewiele; Isabelle Dehaene; Olivier Janssens; Femke Ongenae; Femke De Backere; Filip De Turck; Kristien Roelens; Sofie Van Hoecke; Thomas Demeester (AIME, 2019)

A Critical Look at Studies Applying Over-Sampling on the TPEHGDB Dataset. - Gilles Vandewiele; Isabelle Dehaene; Olivier Janssens; Femke Ongenae; Femke De Backere; Filip De Turck; Kristien Roelens; Sofie Van Hoecke; Thomas Demeester (AIME, 2019)

Adversarial Perturbations for Joint Entity and Relation Extraction. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (BNAIC/BENELEARN, 2019)

Sub-event detection from twitter streams as a sequence labeling problem. - Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (NAACL-HLT (1), 2019)

Neuro-Symbolic = Neural + Logical + Probabilistic. - Luc De Raedt; Robin Manhaeve; Sebastijan Dumancic; Thomas Demeester; Angelika Kimmig (NeSy@IJCAI, 2019)

A Self-Training Approach for Short Text Clustering. - Amir Hadifar; Lucas Sterckx; Thomas Demeester; Chris Develder (RepL4NLP@ACL, 2019)

Character-level recurrent neural networks in practice: comparing training and sampling schemes. - Cedric De Boom; Thomas Demeester; Bart Dhoedt (Neural Comput. Appl., 2019)

System Identification with Time-Aware Neural Sequence Models. - Thomas Demeester (AAAI, 2020)

Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes. - Yiwei Jiang; Klim Zaporojets; Johannes Deleu; Thomas Demeester; Chris Develder (AACL/IJCNLP, 2020)

Block-wise Dynamic Sparseness. - Amir Hadifar; Johannes Deleu; Chris Develder; Thomas Demeester (CoRR, 2020)

Overly Optimistic Prediction Results on Imbalanced Data: Flaws and Benefits of Applying Over-sampling. - Gilles Vandewiele; Isabelle Dehaene; György Kovács 002; Lucas Sterckx; Olivier Janssens; Femke Ongenae; Femke De Backere; Filip De Turck; Kristien Roelens; Johan Decruyenaere; Sofie Van Hoecke; Thomas Demeester (CoRR, 2020)

Solving Math Word Problems by Scoring Equations with Recursive Neural Networks. - Klim Zaporojets; Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (CoRR, 2020)

Clinical information extraction for preterm birth risk prediction. - Lucas Sterckx; Gilles Vandewiele; Isabelle Dehaene; Olivier Janssens; Femke Ongenae; Femke De Backere; Filip De Turck; Kristien Roelens; Johan Decruyenaere; Sofie Van Hoecke; Thomas Demeester (J. Biomed. Informatics, 2020)

Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution. - Severine Verlinden; Klim Zaporojets; Johannes Deleu; Thomas Demeester; Chris Develder (ACL/IJCNLP (Findings), 2021)

A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders. - Maarten De Raedt; Fréderic Godin; Pieter Buteneers; Chris Develder; Thomas Demeester (EMNLP (1), 2021)

A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks. - Amir Hadifar; Sofie Labat; Véronique Hoste; Chris Develder; Thomas Demeester (NAACL-HLT, 2021)

Neural probabilistic logic programming in DeepProbLog. - Robin Manhaeve; Sebastijan Dumancic; Angelika Kimmig; Thomas Demeester; Luc De Raedt (Artif. Intell., 2021)

Overly optimistic prediction results on imbalanced data: a case study of flaws and benefits when applying over-sampling. - Gilles Vandewiele; Isabelle Dehaene; György Kovács 002; Lucas Sterckx; Olivier Janssens; Femke Ongenae; Femke De Backere; Filip De Turck; Kristien Roelens; Johan Decruyenaere; Sofie Van Hoecke; Thomas Demeester (Artif. Intell. Medicine, 2021)

Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution. - Klim Zaporojets; Johannes Deleu; Thomas Demeester; Chris Develder (CoRR, 2021)

JobBERT: Understanding Job Titles through Skills. - Jens-Joris Decorte; Jeroen Van Hautte; Thomas Demeester; Chris Develder (CoRR, 2021)

Solving arithmetic word problems by scoring equations with recursive neural networks. - Klim Zaporojets; Giannis Bekoulis; Johannes Deleu; Thomas Demeester; Chris Develder (Expert Syst. Appl., 2021)

DWIE: An entity-centric dataset for multi-task document-level information extraction. - Klim Zaporojets; Johannes Deleu; Chris Develder; Thomas Demeester (Inf. Process. Manag., 2021)

Exploration of block-wise dynamic sparseness. - Amir Hadifar; Johannes Deleu; Chris Develder; Thomas Demeester (Pattern Recognit. Lett., 2021)

Neuro-Symbolic AI = Neural + Logical + Probabilistic AI. - Robin Manhaeve; Giuseppe Marra; Thomas Demeester; Sebastijan Dumancic; Angelika Kimmig; Luc De Raedt (Neuro-Symbolic Artificial Intelligence, 2021)

UGent-T2K at the 2nd DialDoc Shared Task: A Retrieval-Focused Dialog System Grounded in Multiple Documents. - Yiwei Jiang; Amir Hadifar; Johannes Deleu; Thomas Demeester; Chris Develder (DialDoc@ACL, 2022)

Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution. - Klim Zaporojets; Johannes Deleu; Yiwei Jiang; Thomas Demeester; Chris Develder (ACL (2), 2022)

An Emotional Journey: Detecting Emotion Trajectories in Dutch Customer Service Dialogues. - Sofie Labat; Amir Hadifar; Thomas Demeester; Véronique Hoste (W-NUT@COLING, 2022)

Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals. - Maarten De Raedt; Fréderic Godin; Chris Develder; Thomas Demeester (EMNLP, 2022)

BioLORD: Learning Ontological Representations from Definitions for Biomedical Concepts and their Textual Descriptions. - François Remy; Kris Demuynck; Thomas Demeester (EMNLP (Findings), 2022)

Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction. - Jens-Joris Decorte; Jeroen Van Hautte; Johannes Deleu; Chris Develder; Thomas Demeester (HR@RecSys, 2022)

"Cool glasses, where did you get them?": Generating Visually Grounded Conversation Starters for Human-Robot Dialogue. - Ruben Janssens; Pieter Wolfert; Thomas Demeester; Tony Belpaeme (HRI, 2022)

DLIME-Graphs: A DLIME Extension Based on Triple Embedding for Graphs. - Yoan Antonio López Rodríguez; Hector Raúl González Diez; Orlando Grabiel Toledano-López; Yusniel Hidalgo-Delgado; Erik Mannens; Thomas Demeester (KGSWC, 2022)

Variation in the Expression and Annotation of Emotions: A Wizard of Oz Pilot Study. - Sofie Labat; Naomi Ackaert; Thomas Demeester; Véronique Hoste (NLPerspectives@LREC, 2022)

TempEL: Linking Dynamically Evolving and Newly Emerging Entities. - Klim Zaporojets; Lucie-Aimée Kaffee; Johannes Deleu; Thomas Demeester; Chris Develder; Isabelle Augenstein (NeurIPS, 2022)

Fine-tuning mT5-based Transformer via CMA-ES for Sentiment Analysis. - Orlando Grabiel Toledano-López; Julio Madera; Héctor R. Gonzalez; Alfredo Simón-Cuevas; Thomas Demeester; Erik Mannens (IberLEF@SEPLN, 2022)

Next-Year Bankruptcy Prediction from Textual Data: Benchmark and Baselines. - Henri Arno; Klaas Mulier; Joke Baeck; Thomas Demeester (CoRR, 2022)

Neural Bayesian Network Understudy. - Paloma Rabaey; Cedric De Boom; Thomas Demeester (CoRR, 2022)

Distractor Retrieval Dataset. - Semere Kiros Bitew; Amir Hadifar; Lucas Sterckx; Johannes Deleu; Chris Develder; Thomas Demeester (IEEE DataPort, 2022)

Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning. - Semere Kiros Bitew; Johannes Deleu; A. Seza Dogruöz; Chris Develder; Thomas Demeester (BEA@ACL, 2023)

Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge. - François Remy; Kris Demuynck; Thomas Demeester (BioNLP@ACL, 2023)

Diverse Content Selection for Educational Question Generation. - Amir Hadifar; Semere Kiros Bitew; Johannes Deleu; Véronique Hoste; Chris Develder; Thomas Demeester (EACL (Student Research Workshop), 2023)

BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance. - Karel D'Oosterlinck; François Remy; Johannes Deleu; Thomas Demeester; Chris Develder; Klim Zaporojets; Aneiss Ghodsi; Simon Ellershaw; Jack Collins; Christopher Potts (EMNLP (Findings), 2023)

Career Path Prediction using Resume Representation Learning and Skill-based Matching. - Jens-Joris Decorte; Jeroen Van Hautte; Johannes Deleu; Chris Develder; Thomas Demeester (HR@RecSys, 2023)

Detecting Idiomatic Multiword Expressions in Clinical Terminology using Definition-Based Representation Learning. - François Remy; Alfiya Khabibullina; Thomas Demeester (MWE@EACL, 2023)

Unimodalities Count as Perspectives in Multimodal Emotion Annotation. - Quanqi Du; Sofie Labat; Thomas Demeester; Véronique Hoste (NLPerspectives@ECAI, 2023)

Distractor Generation for Multiple-Choice Questions with Predictive Prompting and Large Language Models. - Semere Kiros Bitew; Johannes Deleu; Chris Develder; Thomas Demeester (PKDD/ECML Workshops (2), 2023)

EduQG: A Multi-Format Multiple-Choice Dataset for the Educational Domain. - Amir Hadifar; Semere Kiros Bitew; Johannes Deleu; Chris Develder; Thomas Demeester (IEEE Access, 2023)

IDAS: Intent Discovery with Abstractive Summarization. - Maarten De Raedt; Fréderic Godin; Thomas Demeester; Chris Develder (CoRR, 2023)

Automatic Glossary of Clinical Terminology: a Large-Scale Dictionary of Biomedical Definitions Generated from Ontological Knowledge. - François Remy; Thomas Demeester (CoRR, 2023)

Extreme Multi-Label Skill Extraction Training using Large Language Models. - Jens-Joris Decorte; Severine Verlinden; Jeroen Van Hautte; Johannes Deleu; Chris Develder; Thomas Demeester (CoRR, 2023)

Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation. - François Remy; Pieter Delobelle; Bettina Berendt; Kris Demuynck; Thomas Demeester (CoRR, 2023)

CAW-coref: Conjunction-Aware Word-level Coreference Resolution. - Karel D'Oosterlinck; Semere Kiros Bitew; Brandon Papineau; Christopher Potts; Thomas Demeester; Chris Develder (CoRR, 2023)

Zero-Shot Cross-Lingual Sentiment Classification under Distribution Shift: an Exploratory Study. - Maarten De Raedt; Semere Kiros Bitew; Fréderic Godin; Thomas Demeester; Chris Develder (CoRR, 2023)

Flexible Model Interpretability through Natural Language Model Editing. - Karel D'Oosterlinck; Thomas Demeester; Chris Develder; Christopher Potts (CoRR, 2023)

Training a Hopfield Variational Autoencoder with Equilibrium Propagation. - Tom Van Der Meersch; Johannes Deleu; Thomas Demeester (CoRR, 2023)

Accelerating Hierarchical Associative Memory: A Deep Equilibrium Approach. - Cédric Goemaere; Johannes Deleu; Thomas Demeester (CoRR, 2023)

BioLORD-2023: Semantic Textual Representations Fusing LLM and Clinical Knowledge Graph Insights. - François Remy; Kris Demuynck; Thomas Demeester (CoRR, 2023)

Exploring the Temperature-Dependent Phase Transition in Modern Hopfield Networks. - Felix Koulischer; Cédric Goemaere; Tom Van Der Meersch; Johannes Deleu; Thomas Demeester (CoRR, 2023)

Synthetic Data: Can We Trust Statistical Estimators? - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Christiaan Polet; Johan Decruyenaere; Stijn Vansteelandt; Thomas Demeester (CoRR, 2023)

CookDial: a dataset for task-oriented dialogs grounded in procedural documents. - Yiwei Jiang; Klim Zaporojets; Johannes Deleu; Thomas Demeester; Chris Develder (Appl. Intell., 2023)

Clinical Reasoning over Tabular Data and Text with Bayesian Networks. - Paloma Rabaey; Johannes Deleu; Stefan Heytens; Thomas Demeester (AIME (1), 2024)

On the Biased Assessment of Expert Finding Systems. - Jens-Joris Decorte; Jeroen Van Hautte; Chris Develder; Thomas Demeester (HR@RecSys, 2024)

Adaptive Second Language Tutoring Using Generative AI and a Social Robot. - Eva Verhelst; Ruben Janssens; Thomas Demeester; Tony Belpaeme (HRI (Companion), 2024)

Debiasing Synthetic Data Generated by Deep Generative Models. - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Johan Decruyenaere; Christiaan Polet; Thomas Demeester; Stijn Vansteelandt (NeurIPS, 2024)

The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data. - Alexander Decruyenaere; Heidelinde Dehaene; Paloma Rabaey; Christiaan Polet; Johan Decruyenaere; Stijn Vansteelandt; Thomas Demeester (UAI, 2024)

Few-shot out-of-scope intent classification: analyzing the robustness of prompt-based learning. - Yiwei Jiang; Maarten De Raedt; Johannes Deleu; Thomas Demeester; Chris Develder (Appl. Intell., 2024)

In-Context Learning for Extreme Multi-Label Classification. - Karel D'Oosterlinck; Omar Khattab; François Remy; Thomas Demeester; Chris Develder; Christopher Potts (CoRR, 2024)

From Numbers to Words: Multi-Modal Bankruptcy Prediction Using the ECL Dataset. - Henri Arno; Klaas Mulier; Joke Baeck; Thomas Demeester (CoRR, 2024)

Trans-Tokenization and Cross-lingual Vocabulary Transfers: Language Adaptation of LLMs for Low-Resource NLP. - François Remy; Pieter Delobelle; Hayastan Avetisyan; Alfiya Khabibullina; Miryam de Lhoneux; Thomas Demeester (CoRR, 2024)

SynSUM - Synthetic Benchmark with Structured and Unstructured Medical Records. - Paloma Rabaey; Henri Arno; Stefan Heytens; Thomas Demeester (CoRR, 2024)

From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding. - Henri Arno; Paloma Rabaey; Thomas Demeester (CoRR, 2024)

SkillMatch: Evaluating Self-supervised Learning of Skill Relatedness. - Jens-Joris Decorte; Jeroen Van Hautte; Thomas Demeester; Chris Develder (CoRR, 2024)

ChocoLlama: Lessons Learned From Teaching Llamas Dutch. - Matthieu Meeus; Anthony Rathé; François Remy; Pieter Delobelle; Jens-Joris Decorte; Thomas Demeester (CoRR, 2024)

BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights. - François Remy; Kris Demuynck; Thomas Demeester (J. Am. Medical Informatics Assoc., 2024)

Learning to Reuse Distractors to Support Multiple-Choice Question Generation in Education. - Semere Kiros Bitew; Amir Hadifar; Lucas Sterckx; Johannes Deleu; Chris Develder; Thomas Demeester (IEEE Trans. Learn. Technol., 2024)

Revisiting clustering for efficient unsupervised dialogue structure induction. - Maarten De Raedt; Fréderic Godin; Chris Develder; Thomas Demeester (Appl. Intell., 2024)

EmoTwiCS: a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter. - Sofie Labat; Thomas Demeester; Véronique Hoste (Lang. Resour. Evaluation, 2024)

Improved Allergy Wheal Detection for the Skin Prick Automated Test Device. - Rembert Daems; Sven Seys; Valérie Hox; Adam Chaker; Glynnis De Greve; Winde Lemmens; Anne-Lise Poirrier; Eline Beckers; Zuzana Diamant; Carmen Dierickx; Peter W. Hellings; Caroline Huart; et al. (AIME (2), 2025)

Dynamic Negative Guidance of Diffusion Models. - Felix Koulischer; Johannes Deleu; Gabriel Raya; Thomas Demeester; Luca Ambrogioni (ICLR, 2025)

Efficient Text Encoders for Labor Market Analysis. - Jens-Joris Decorte; Jeroen Van Hautte; Chris Develder; Thomas Demeester (IEEE Access, 2025)

Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment. - Karel D'Oosterlinck; Winnie Xu; Chris Develder; Thomas Demeester; Amanpreet Singh; Christopher Potts; Douwe Kiela; Shikib Mehri (Trans. Assoc. Comput. Linguistics, 2025)

Integrating Visual Context Into Language Models for Situated Social Conversation Starters. - Ruben Janssens; Pieter Wolfert; Thomas Demeester; Tony Belpaeme (IEEE Trans. Affect. Comput., 2025)

SynSUM - Synthetic Benchmark with Structured and Unstructured Medical Records. - Paloma Rabaey; Stefan Heytens; Thomas Demeester (IEEE DataPort, 2025)

Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images. - Max Hallemeesch; Marija Pizurica; Paloma Rabaey; Olivier Gevaert; Thomas Demeester; Kathleen Marchal (CoRR, 2025)

Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources. - Joachim De Baer; A. Seza Dogruöz; Thomas Demeester; Chris Develder (CoRR, 2025)

Error Optimization: Overcoming Exponential Signal Decay in Deep Predictive Coding Networks. - Cédric Goemaere; Gaspard Oliviers; Rafal Bogacz; Thomas Demeester (CoRR, 2025)

Feedback Guidance of Diffusion Models. - Felix Koulischer; Florian Handke; Johannes Deleu; Thomas Demeester; Luca Ambrogioni (CoRR, 2025)

Personalized Treatment Effect Estimation from Unstructured Data. - Henri Arno; Thomas Demeester (CoRR, 2025)

UniC: a dataset for emotion analysis of videos with multimodal and unimodal labels. - Quanqi Du; Sofie Labat; Thomas Demeester; Véronique Hoste (Lang. Resour. Evaluation, 2025)