Conceptual Coherence in the Generation of Referring Expressions. - Albert Gatt; Kees van Deemter (ACL, 2006)

Structuring Knowledge for Reference Generation: A Clustering Algorithm. - Albert Gatt (EACL, 2006)

Building a Semantically Transparent Corpus for the Generation of Referring Expressions. - Kees van Deemter; Ielka van der Sluis; Albert Gatt (INLG, 2006)

In pursuit of satisfaction and the prevention of embarrassment: affective state in group recommender systems. - Judith Masthoff; Albert Gatt (User Model. User Adapt. Interact., 2006)

Incremental Generation of Plural Descriptions: Similarity and Partitioning. - Albert Gatt; Kees van Deemter (EMNLP-CoNLL, 2007)

Evaluating algorithms for the Generation of Referring Expressions using a balanced corpus. - Albert Gatt; Ielka van der Sluis; Kees van Deemter (ENLG, 2007)

Lexical Choice and Conceptual Perspective in the Generation of Plural Referring Expressions. - Albert Gatt; Kees van Deemter (J. Log. Lang. Inf., 2007)

Generating coherent references to multiple entities. - Albert Gatt (2007)

Intrinsic vs. Extrinsic Evaluation Measures for Referring Expression Generation. - Anja Belz; Albert Gatt (ACL (2), 2008)

Summarising Complex ICU Data in Natural Language. - Jim Hunter; Yvonne Freer; Albert Gatt; Robert Logie; Neil McIntosh; Marian van der Meulen; François Portet; Ehud Reiter; Somayajulu Sripada; Cindy Sykes (AMIA, 2008)

Using Natural Language Generation Technology to Improve Information Flows in Intensive Care Units. - Jim Hunter; Albert Gatt; François Portet; Ehud Reiter; Somayajulu Sripada (ECAI, 2008)

REG Challenge Preface. - Anja Belz; Albert Gatt (INLG, 2008)

The GREC Challenge 2008: Overview and Evaluation Results. - Anja Belz; Eric Kow; Jette Viethen; Albert Gatt (INLG, 2008)

Attribute Selection for Referring Expression Generation: New Algorithms and Evaluation Methods. - Albert Gatt; Anja Belz (INLG, 2008)

The TUNA Challenge 2008: Overview and Evaluation Results. - Albert Gatt; Anja Belz; Eric Kow (INLG, 2008)

The Importance of Narrative and Other Lessons from an Evaluation of an NLG System that Summarises Clinical Data. - Ehud Reiter; Albert Gatt; François Portet; Marian van der Meulen (INLG, 2008)

Towards a Possibility-Theoretic Approach to Uncertainty in Medical Data Interpretation for Text Generation. - François Portet; Albert Gatt (KR4HC, 2009)

Generation Challenges 2009: Preface. - Anja Belz; Albert Gatt (ENLG, 2009)

The TUNA-REG Challenge 2009: Overview and Evaluation Results. - Albert Gatt; Anja Belz; Eric Kow (ENLG, 2009)

SimpleNLG: A Realisation Engine for Practical Applications. - Albert Gatt; Ehud Reiter (ENLG, 2009)

A Hearer-Oriented Evaluation of Referring Expression Generation. - Imtiaz Hussain Khan; Kees van Deemter; Graeme Ritchie; Albert Gatt; Alexandra A. Cleland (ENLG, 2009)

Text Content and Task Performance in the Evaluation of a Natural Language Generation System. - Albert Gatt; François Portet (RANLP, 2009)

Le projet BabyTalk : génération de texte à partir de données hétérogènes pour la prise de décision en unité néonatale. - François Portet; Albert Gatt; Jim Hunter; Ehud Reiter; Somayajulu Sripada (TALN (Articles longs), 2009)

Automatic generation of textual summaries from neonatal intensive care data. - François Portet; Ehud Reiter; Albert Gatt; Jim Hunter; Somayajulu Sripada; Yvonne Freer; Cindy Sykes (Artif. Intell., 2009)

From data to text in the Neonatal Intensive Care Unit: Using NLG technology for decision support and information management. - Albert Gatt; François Portet; Ehud Reiter; Jim Hunter; Saad Mahamood; Wendy Moncur; Somayajulu Sripada (AI Commun., 2009)

Generating Referring Expressions in Context: The GREC Task Evaluation Challenges. - Anja Belz; Eric Kow; Jette Viethen; Albert Gatt (Empirical Methods in Natural Language Generation, 2010)

Introducing Shared Tasks to NLG: The TUNA Shared Task Evaluation Challenges. - Albert Gatt; Anja Belz (Empirical Methods in Natural Language Generation, 2010)

Generation Challenges 2010 Preface. - Anja Belz; Albert Gatt; Alexander Koller (INLG, 2010)

Textual Properties and Task-based Evaluation: Investigating the Role of Surface Properties, Structure and Content. - Albert Gatt; François Portet (INLG, 2010)

PRE-CogSci 2011 - Bridging the gap between computational, empirical and theoretical approaches to reference. - Kees van Deemter; Albert Gatt; Roger P. G. van Gompel; Emiel Krahmer (CogSci, 2011)

Attribute preference and priming in reference production: Experimental evidence and computational modeling. - Albert Gatt; Martijn Goudbeek; Emiel Krahmer (CogSci, 2011)

Generation Challenges 2011 Preface. - Anja Belz; Albert Gatt; Alexander Koller; Kristina Striegnitz (ENLG, 2011)

If it may have happened before, it happened, but not necessarily before. - Albert Gatt; François Portet (ENLG, 2011)

What is in a text and what does it do: Qualitative Evaluations of an NLG system - the BT-Nurse - using content analysis and discourse analysis. - Rahul Sambaraju; Ehud Reiter; Robert Logie; Andy McKinlay; Chris McVittie; Albert Gatt; Cindy Sykes (ENLG, 2011)

Extending a Tool Resource Framework with U-Compare. - Michael Rosner; Andrew Attard; Paul Thompson 002; Albert Gatt; Sophia Ananiadou (LTC, 2011)

BT-Nurse: computer generation of natural language shift summaries from complex heterogeneous medical data. - James Hunter; Yvonne Freer; Albert Gatt; Ehud Reiter; Somayajulu Sripada; Cindy Sykes; Dave Westwater (J. Am. Medical Informatics Assoc., 2011)

Does domain size impact speech onset time during reference production? - Albert Gatt; Roger P. G. van Gompel; Emiel Krahmer; Kees van Deemter (CogSci, 2012)

A Repository of Data and Evaluation Resources for Natural Language Generation. - Anja Belz; Albert Gatt (LREC, 2012)

Incorporating an Error Corpus into a Spellchecker for Maltese. - Michael Rosner; Albert Gatt; Andrew Attard; Jan Joachimsen (LREC, 2012)

Automatic generation of natural language nursing shift summaries in neonatal intensive care: BT-Nurse. - James Hunter; Yvonne Freer; Albert Gatt; Ehud Reiter; Somayajulu Sripada; Cindy Sykes (Artif. Intell. Medicine, 2012)

Generation of Referring Expressions: Assessing the Incremental Algorithm. - Kees van Deemter; Albert Gatt; Ielka van der Sluis; Richard Power (Cogn. Sci., 2012)

Assessing the Incremental Algorithm: A Response to Krahmer et al. - Kees van Deemter; Albert Gatt; Ielka van der Sluis; Richard Power (Cogn. Sci., 2012)

Toward a Computational Psycholinguistics of Reference Production. - Kees van Deemter; Albert Gatt; Roger P. G. van Gompel; Emiel Krahmer (Top. Cogn. Sci., 2012)

Workshop Proposal: PRE-CogSci 2013: Bridging the gap between cognitive and computational approaches to reference. - Albert Gatt; Roger P. G. van Gompel; Ellen Gurman Bard; Emiel Krahmer; Kees van Deemter (CogSci, 2013)

Production of referring expressions: Preference trumps discrimination. - Albert Gatt; Emiel Krahmer; Roger P. G. van Gompel; Kees van Deemter (CogSci, 2013)

What and Where: An Empirical Investigation of Pointing Gestures and Descriptions in Multimodal Referring Actions. - Albert Gatt; Patrizia Paggio (ENLG, 2013)

Symposium: The Role of Alternatives in Pragmatic Inference. - Judith Degen; Noah D. Goodman; Roni Katzir; David Barner; Albert Gatt (CogSci, 2014)

Learning when to point: A data-driven approach. - Albert Gatt; Patrizia Paggio (COLING, 2014)

Crowd-sourcing evaluation of automatically acquired, morphologically related word groupings. - Claudia Borg; Albert Gatt (LREC, 2014)

Cues to gemination in word-initial position in Maltese. - Luke Galea; Anne Hermes; Albert Gatt; Martine Grice (ICPhS, 2015)

Viewing time affects overspecification: Evidence for two strategies of attribute selection during reference production. - Ruud Koolen; Albert Gatt; Roger P. G. van Gompel; Emiel Krahmer; Kees van Deemter (CogSci, 2016)

The Role of Graduality for Referring Expression Generation in Visual Scenes. - Albert Gatt; Nicolás Marín; François Portet; Daniel Sánchez 001 (IPMU (1), 2016)

Reasoning About Partial Contracts. - Shaun Azzopardi; Albert Gatt; Gordon J. Pace (JURIX, 2016)

Multilingual generation of uncertain temporal expressions from data: A study of a possibilistic formalism and its consistency with human subjective evaluations. - Albert Gatt; François Portet (Fuzzy Sets Syst., 2016)

A morphological analyser for Maltese. - Vinit Ravishankar; Francis M. Tyers; Albert Gatt (ACLING, 2017)

An empirical approach for modeling fuzzy geographical descriptors. - Alejandro Ramos-Soto; José Maria Alonso; Ehud Reiter; Kees van Deemter; Albert Gatt (FUZZ-IEEE, 2017)

What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator? - Marc Tanti; Albert Gatt; Kenneth P. Camilleri (INLG, 2017)

Morphological Analysis for the Maltese Language: The challenges of a hybrid system. - Claudia Borg; Albert Gatt (WANLP@EACL, 2017)

Grounded Textual Entailment. - Hoa Trong Vu; Claudio Greco 002; Aliia Erofeeva; Somayeh Jafaritazehjan; Guido Linders; Marc Tanti; Alberto Testoni; Raffaella Bernardi; Albert Gatt (COLING, 2018)

Quantifying the Amount of Visual Information Used by Neural Caption Generators. - Marc Tanti; Albert Gatt; Kenneth P. Camilleri (ECCV Workshops (4), 2018)

Pre-gen Metrics: Predicting Caption Quality Metrics Without Generating Captions. - Marc Tanti; Albert Gatt; Adrian Muscat (ECCV Workshops (4), 2018)

Specificity measures and reference. - Albert Gatt; Nicolás Marín; Gustavo Rivas-Gervilla; Daniel Sánchez 001 (INLG, 2018)

Meteorologists and Students: A resource for language grounding of geographical descriptors. - Alejandro Ramos-Soto; Ehud Reiter; Kees van Deemter; José Maria Alonso; Albert Gatt (INLG, 2018)

Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions. - Albert Gatt; Marc Tanti; Adrian Muscat; Patrizia Paggio; Reuben A. Farrugia; Claudia Borg; Kenneth P. Camilleri; Mike Rosner; Lonneke van der Plas (LREC, 2018)

Making effective use of healthcare data using data-to-text technology. - Steffen Pauws; Albert Gatt; Emiel Krahmer; Ehud Reiter (CoRR, 2018)

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation. - Albert Gatt; Emiel Krahmer (J. Artif. Intell. Res., 2018)

Where to put the image in an image caption generator. - Marc Tanti; Albert Gatt; Kenneth P. Camilleri (Nat. Lang. Eng., 2018)

Making Effective Use of Healthcare Data Using Data-to-Text Technology. - Steffen Pauws; Albert Gatt; Emiel Krahmer; Ehud Reiter (Data Science for Healthcare, 2019)

You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification. - Angelo Basile; Albert Gatt; Malvina Nissim (ACL (1), 2019)

Visually grounded generation of entailments from premises. - Somayeh Jafaritazehjani; Albert Gatt; Marc Tanti (INLG, 2019)

Best practices for the human evaluation of automatically generated text. - Chris van der Lee; Albert Gatt; Emiel van Miltenburg; Sander Wubben; Emiel Krahmer (INLG, 2019)

Transfer learning from language models to image caption generators: Better models may not transfer better. - Marc Tanti; Albert Gatt; Kenneth P. Camilleri (CoRR, 2019)

Visuallly Grounded Generation of Entailments from Premises. - Somayeh Jafaritazehjani; Albert Gatt; Marc Tanti (CoRR, 2019)

On Architectures for Including Visual Information in Neural Language Models for Image Description. - Marc Tanti; Albert Gatt; Kenneth P. Camilleri (CoRR, 2019)

Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers. - Alejandro Ramos-Soto; José Maria Alonso; Ehud Reiter; Kees van Deemter; Albert Gatt (Int. J. Comput. Intell. Syst., 2019)

Datasets and Models for Authorship Attribution on Italian Personal Writings. - Gaetana Ruggiero; Albert Gatt; Malvina Nissim (CLiC-it, 2020)

CHANGE-IT @ EVALITA 2020: Change Headlines, Adapt News, GEnerate (short paper). - Lorenzo De Mattei; Michele Cafagna; Felice Dell'Orletta; Malvina Nissim; Albert Gatt (EVALITA, 2020)

Gradations of Error Severity in Automatic Image Descriptions. - Emiel van Miltenburg; Wei-Ting Lu; Emiel Krahmer; Albert Gatt; Guanyi Chen; Lin Li; Kees van Deemter (INLG, 2020)

Automatic Removal of Identifying Information in Official EU Languages for Public Administrations: The MAPA Project. - Lucie Gianola; Eriks Ajausks; Victoria Arranz; Chomicha Bendahman; Laurent Bié; Claudia Borg; Aleix Cerdà-i-Cucó; Khalid Choukri; Montse Cuadros; Ona de Gibert; Hans Degroote; Elena Edelman; et al. (JURIX, 2020)

Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis. - Stavros Assimakopoulos; Rebecca Vella Muskat; Lonneke van der Plas; Albert Gatt (LREC, 2020)

MASRI-HEADSET: A Maltese Corpus for Speech Recognition. - Carlos Daniel Hernandez Mena; Albert Gatt; Andrea DeMarco; Claudia Borg; Lonneke van der Plas; Amanda Muscat; Ian Padovani (LREC, 2020)

The Natural Language Pipeline, Neural Text Generation and Explainability. - Juliette Faille; Albert Gatt; Claire Gardent (NL4XAI@INGL, 2020)

Towards Harnessing Natural Language Generation to Explain Black-box Models. - Ettore Mariotti; José Maria Alonso; Albert Gatt (NL4XAI@INGL, 2020)

Interactive Natural Language Technology for Explainable Artificial Intelligence. - José Maria Alonso; Senén Barro; Alberto Bugarín; Kees van Deemter; Claire Gardent; Albert Gatt; Ehud Reiter; Carles Sierra; Mariët Theune; Nava Tintarev; Hitoshi Yano; Katarzyna Budzynska (TAILOR, 2020)

Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias. - Marion Bartl; Malvina Nissim; Albert Gatt (CoRR, 2020)

Seeing past words: Testing the cross-modal capabilities of pretrained V&L models. - Letitia Parcalabescu; Albert Gatt; Anette Frank; Iacer Calixto (CoRR, 2020)

On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning. - Marc Tanti; Lonneke van der Plas; Claudia Borg; Albert Gatt (BlackboxNLP@EMNLP, 2021)

Entity-Based Semantic Adequacy for Data-to-Text Generation. - Juliette Faille; Albert Gatt; Claire Gardent (EMNLP (Findings), 2021)

On the interaction of automatic evaluation and task framing in headline style transfer. - Lorenzo De Mattei; Michele Cafagna; Huiyuan Lai; Felice Dell'Orletta; Malvina Nissim; Albert Gatt (CoRR, 2021)

What Vision-Language Models 'See' when they See Scenes. - Michele Cafagna; Kees van Deemter; Albert Gatt (CoRR, 2021)

Data Augmentation for Speech Recognition in Maltese: A Low-Resource Perspective. - Carlos Daniel Hernandez Mena; Andrea DeMarco; Claudia Borg; Lonneke van der Plas; Albert Gatt (CoRR, 2021)

Human evaluation of automatically generated text: Current trends and best practice guidelines. - Chris van der Lee; Albert Gatt; Emiel van Miltenburg; Emiel Krahmer (Comput. Speech Lang., 2021)

Automatic Classification of Legal Violations in Cookie Banner Texts. - Marieke Van Hofslot; Almila Akdag Salah; Albert Gatt; Cristiana Santos (NLLP@EMNLP, 2022)

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena. - Letitia Parcalabescu; Michele Cafagna; Lilitta Muradjan; Anette Frank; Iacer Calixto; Albert Gatt (ACL (1), 2022)

Multi3Generation: Multitask, Multilingual, Multimodal Language Generation. - Anabela Barreiro; José G. C. de Souza; Albert Gatt; Mehul Bhatt; Elena Lloret; Aykut Erdem; Dimitra Gkatzia; Helena Moniz; Irene Russo; Fábio N. Kepler; Iacer Calixto; Marcin Paprzycki; et al. (EAMT, 2022)

Measuring Model Understandability by means of Shapley Additive Explanations. - Ettore Mariotti; Jose Maria Alonso-Moral; Albert Gatt (FUZZ-IEEE, 2022)

Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese. - Kurt Micallef; Albert Gatt; Marc Tanti; Lonneke van der Plas; Claudia Borg (CoRR, 2022)

Face2Text revisited: Improved data set and baseline results. - Marc Tanti; Shaun Abdilla; Adrian Muscat; Claudia Borg; Reuben A. Farrugia; Albert Gatt (CoRR, 2022)

Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions. - Michele Cafagna; Kees van Deemter; Albert Gatt (CoRR, 2022)

Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning. - Erkut Erdem; Menekse Kuyu; Semih Yagcioglu; Anette Frank; Letitia Parcalabescu; Barbara Plank; Andrii Babii; Oleksii Turuta; Aykut Erdem; Iacer Calixto; Elena Lloret; Elena Simona Apostol; et al. (J. Artif. Intell. Res., 2022)

Contrast Is All You Need. - Burak Kilic; Floris Bex; Albert Gatt (ASAIL@ICAIL, 2023)

Video-and-Language (VidL) models and their cognitive relevance. - Anne Zonneveld; Albert Gatt; Iacer Calixto (ICCV (Workshops), 2023)

HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales. - Michele Cafagna; Kees van Deemter; Albert Gatt (INLG, 2023)

Speech Emotion Recognition Using Deep Convolutional Neural Networks Improved by the Fast Continuous Wavelet Transform. - Björn E. Van Zwol; Mathijs A. Langezaal; Lukas P. A. Arts; Albert Gatt; Egon L. van den Broek (Intelligent Environments (Workshops), 2023)

PARSEME corpus release 1.3. - Agata Savary; Chérifa Ben Khelil; Carlos Ramisch; Voula Giouli; Verginica Barbu Mititelu; Najet Hadj Mohamed; Cvetana Krstev; Chaya Liebeskind; Hongzhi Xu; Sara Stymne; Tunga Güngör; Thomas Pickard; et al. (MWE@EACL, 2023)

Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation. - Eduardo Calò; Jordi Levy; Albert Gatt; Kees van Deemter (*SEM@ACL, 2023)

HL Dataset: Grounding High-Level Linguistic Concepts in Vision. - Michele Cafagna; Kees van Deemter; Albert Gatt (CoRR, 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - Anya Belz; Craig Thomson; Ehud Reiter; Gavin Abercrombie; Jose Maria Alonso-Moral; Mohammad Arvan; Jackie Chi Kit Cheung; Mark Cieliebak; Elizabeth Clark; Kees van Deemter; Tanvi Dinkar; Ondrej Dusek; et al. (CoRR, 2023)

The Scenario Refiner: Grounding subjects in images at the morphological level. - Claudia Tagliaferri; Sofia Axioti; Albert Gatt; Denis Paperno (CoRR, 2023)

Interpreting vision and language generative models with semantic visual priors. - Michele Cafagna; Lina Maria Rojas-Barahona; Kees van Deemter; Albert Gatt (Frontiers Artif. Intell., 2023)

Rethinking symbolic and visual context in Referring Expression Generation. - Simeon Schüz; Albert Gatt; Sina Zarrieß (Frontiers Artif. Intell., 2023)

Exploring the balance between interpretability and performance with carefully designed constrainable Neural Additive Models. - Ettore Mariotti; Jose Maria Alonso-Moral; Albert Gatt (Inf. Fusion, 2023)

A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences. - Leonardo Bertolazzi; Albert Gatt; Raffaella Bernardi (EMNLP, 2024)

ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models. - Ilker Kesen; Andrea Pedrotti; Mustafa Dogan; Michele Cafagna; Emre Can Acikgoz; Letitia Parcalabescu; Iacer Calixto; Anette Frank; Albert Gatt; Aykut Erdem; Erkut Erdem (ICLR, 2024)

Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices. - Patrícia Schmidtová; Saad Mahamood; Simone Balloccu; Ondrej Dusek; Albert Gatt; Dimitra Gkatzia; David M. Howcroft; Ondrej Plátek; Adarsa Sivaprasad (INLG, 2024)

Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning. - Yingjin Song; Denis Paperno; Albert Gatt (INLG, 2024)

TextFocus: Assessing the Faithfulness of Feature Attribution Methods Explanations in Natural Language Processing. - Ettore Mariotti; Anna Arias-Duart; Michele Cafagna; Albert Gatt; Dario Garcia-Gasulla; Jose Maria Alonso-Moral (IEEE Access, 2024)

LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. - Anna Bavaresco; Raffaella Bernardi; Leonardo Bertolazzi; Desmond Elliott; Raquel Fernández; Albert Gatt; Esam Ghaleb; Mario Giulianelli; Michael Hanna 001; Alexander Koller; André F. T. Martins; Philipp Mondorf; et al. (CoRR, 2024)

How and where does CLIP process negation? - Vincent Quantmeyer; Pablo Mosteiro; Albert Gatt (CoRR, 2024)

Summarizing long regulatory documents with a multi-step pipeline. - Mika Sie; Ruby Beek; Michiel Bots; Sjaak Brinkkemper; Albert Gatt (CoRR, 2024)

CV-Probes: Studying the interplay of lexical and world knowledge in visually grounded verb understanding. - Ivana Benová; Michal Gregor; Albert Gatt (CoRR, 2024)

Probing Omissions and Distortions in Transformer-based RDF-to-Text Models. - Juliette Faille; Albert Gatt; Claire Gardent (CoRR, 2024)

Disentangling the Roles of Representation and Selection in Data Pruning. - Yupei Du; Yingjin Song; Hugh Mee Wong; Daniil Ignatev; Albert Gatt; Dong Nguyen 002 (ACL (1), 2025)

Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences? - Yingjin Song; Yupei Du; Denis Paperno; Albert Gatt (ACL (Findings), 2025)

VAQUUM: Are Vague Quantifiers Grounded in Visual Data? - Hugh Mee Wong; Rick Nouwen; Albert Gatt (ACL (Findings), 2025)

FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics. - Yupei Du; Albert Gatt; Dong Nguyen 002 (COLING, 2025)

Evaluation Should Not Ignore Variation: On the Impact of Reference Set Choice on Summarization Metrics. - Silvia Casola; Yang Janet Liu; Siyao Peng; Oliver Kraus; Albert Gatt; Barbara Plank (CoRR, 2025)

COOCO - Common Objects Out-of-Context - Semantic Violation in Scenes: Investigating Multimodal Context in Referential Communication. - Filippo Merlo; Ece Takmaz; Wenkai Chen; Albert Gatt (CoRR, 2025)

From Image Captioning to Visual Storytelling. - Admitos Passadakis; Yingjin Song; Albert Gatt (CoRR, 2025)