A fuzzy set-based approach to origin-destination matrix estimation in urban traffic networks with imprecise data. - Les R. Foulds; Hugo A. D. do Nascimento; Iacer C. A. C. Calixto; Bryon Richard Hall; Humberto J. Longo (Eur. J. Oper. Res., 2013)

Target-Centric Features for Translation Quality Estimation. - Chris Hokamp; Iacer Calixto; Joachim Wagner 001; Jian Zhang (WMT@ACL, 2014)

Overview of the Automated Story Illustration Task at FIRE 2015. - Debasis Ganguly; Iacer Calixto; Gareth J. F. Jones (FIRE Workshops, 2015)

Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies. - Sanja Stajner; Iacer Calixto; Horacio Saggion (RANLP, 2015)

Developing a Dataset for Evaluating Approaches for Document Expansion with Images. - Debasis Ganguly; Iacer Calixto; Gareth J. F. Jones (LREC, 2016)

DCU-UvA Multimodal MT System Report. - Iacer Calixto; Desmond Elliott; Stella Frank (WMT, 2016)

Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles. - Iacer Calixto; Daniel Stein; Evgeny Matusov; Sheila Castilho; Andy Way (VL@EACL, 2017)

Doubly-Attentive Decoder for Multi-modal Neural Machine Translation. - Iacer Calixto; Qun Liu 001; Nick Campbell 001 (ACL (1), 2017)

Using Images to Improve Machine-Translating E-Commerce Product Listings. - Iacer Calixto; Daniel Stein; Evgeny Matusov; Pintu Lohar; Sheila Castilho; Andy Way (EACL (2), 2017)

Incorporating Global Visual Features into Attention-based Neural Machine Translation. - Iacer Calixto; Qun Liu 001 (EMNLP, 2017)

Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation. - Thiago Castro Ferreira; Iacer Calixto; Sander Wubben; Emiel Krahmer (INLG, 2017)

Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing. - Iacer Calixto; Qun Liu 001 (RANLP, 2017)

DCU System Report on the WMT 2017 Multi-modal Machine Translation Task. - Iacer Calixto; Koel Dutta Chowdhury; Qun Liu 001 (WMT, 2017)

Incorporating Global Visual Features into Attention-Based Neural Machine Translation. - Iacer Calixto; Qun Liu 001; Nick Campbell 001 (CoRR, 2017)

Multilingual Multi-modal Embeddings for Natural Language Processing. - Iacer Calixto; Qun Liu 001; Nick Campbell 001 (CoRR, 2017)

Is Neural Machine Translation the New State of the Art? - Sheila Castilho; Joss Moorkens; Federico Gaspari; Iacer Calixto; John Tinsley; Andy Way (Prague Bull. Math. Linguistics, 2017)

Latent Visual Cues for Neural Machine Translation. - Iacer Calixto; Miguel Rios; Wilker Aziz (CoRR, 2018)

Latent Variable Model for Multi-modal Translation. - Iacer Calixto; Miguel Rios; Wilker Aziz (ACL (1), 2019)

An error analysis for image-based multi-modal neural machine translation. - Iacer Calixto; Qun Liu 001 (Mach. Transl., 2019)

Are Scene Graphs Good Enough to Improve Image Captioning? - Victor Siemen Janusz Milewski; Marie-Francine Moens; Iacer Calixto (AACL/IJCNLP, 2020)

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too. - Jason Phang; Iacer Calixto; Phu Mon Htut; Yada Pruksachatkun; Haokun Liu; Clara Vania; Katharina Kann; Samuel R. Bowman (AACL/IJCNLP, 2020)

VisualSem: a high-quality knowledge graph for vision and language. - Houda Alberts; Teresa Huang; Yash Deshpande; Yibo Liu; Kyunghyun Cho; Clara Vania; Iacer Calixto (CoRR, 2020)

ImagiFilter: A resource to enable the semi-automatic mining of images at scale. - Houda Alberts; Iacer Calixto (CoRR, 2020)

A Study on the Autoregressive and non-Autoregressive Multi-label Learning. - Elham J. Barezi; Iacer Calixto; Kyunghyun Cho; Pascale Fung (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)

Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks. - Iacer Calixto; Alessandro Raganato; Tommaso Pasini (NAACL-HLT, 2021)

Zero-shot hashtag segmentation for multilingual sentiment analysis. - Ruan Chaves Rodrigues; Marcelo Akira Inuzuka; Juliana Resplande Sant'Anna Gomes; Acquila Santos Rocha; Iacer Calixto; Hugo Alexandre Dantas do Nascimento (CoRR, 2021)

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)

Endowing Language Models with Multimodal Knowledge Graph Representations. - Ningyuan Huang; Yash R. Deshpande; Yibo Liu; Houda Alberts; Kyunghyun Cho; Clara Vania; Iacer Calixto (CoRR, 2022)

Detecting Euphemisms with Literal Descriptions and Visual Imagery. - Ilker Kesen; Aykut Erdem; Erkut Erdem; Iacer Calixto (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)

Soft-Prompt Tuning to Predict Lung Cancer Using Primary Care Free-Text Dutch Medical Notes. - Auke Elfrink; Iacopo Vagliano; Ameen Abu-Hanna; Iacer Calixto (AIME, 2023)

LLM aided semi-supervision for efficient Extractive Dialog Summarization. - Nishant Mishra; Gaurav Sahu; Iacer Calixto; Ameen Abu-Hanna; Issam H. Laradji (EMNLP (Findings), 2023)

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

Leveraging Multi-Word Concepts to Predict Acute Kidney Injury in Intensive Care. - Lorenzo Brancato; Iacer Calixto; Ameen Abu-Hanna; Iacopo Vagliano (ICIMTH, 2023)

SemEval-2023 Task 1: Visual Word Sense Disambiguation. - Alessandro Raganato; Iacer Calixto; Asahi Ushio; José Camacho-Collados; Mohammad Taher Pilehvar (SemEval@ACL, 2023)

Fixing confirmation bias in feature attribution methods via semantic match. - Giovanni Cinà; Daniel Fernandez-Llaneza; Nishant Mishra; Tabea E. Röber; Sandro Pezzelle; Iacer Calixto; Rob Goedhart; S. Ilker Birbil (CoRR, 2023)

LLM aided semi-supervision for Extractive Dialog Summarization. - Nishant Mishra; Gaurav Sahu; Iacer Calixto; Ameen Abu-Hanna; Issam H. Laradji (CoRR, 2023)

Directions Towards Efficient and Automated Data Wrangling with Large Language Models. - Zeyu Zhang; Paul Groth; Iacer Calixto; Sebastian Schelter (ICDEW, 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)

Evaluating Linguistic Capabilities of Multimodal LLMs in the Lens of Few-Shot Learning. - Mustafa Dogan; Ilker Kesen; Iacer Calixto; Aykut Erdem; Erkut Erdem (CoRR, 2024)

AnyMatch - Efficient Zero-Shot Entity Matching with a Small Language Model. - Zeyu Zhang; Paul Groth; Iacer Calixto; Sebastian Schelter (CoRR, 2024)

A Deep Dive Into Cross-Dataset Entity Matching with Large and Small Language Models. - Zeyu Zhang; Paul Groth; Iacer Calixto; Sebastian Schelter (EDBT, 2025)

What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs. - Xinlan Yan; Di Wu; Yibin Lei; Christof Monz; Iacer Calixto (CoRR, 2025)

Interpretable phenotyping of Heart Failure patients with Dutch discharge letters. - Vittorio Torri; Machteld J. Boonstra; Marielle C. van de Veerdonk; Deborah N. Kalkman; Alicia Uijl; Francesca Ieva; Ameen Abu-Hanna; Folkert W. Asselbergs; Iacer Calixto (CoRR, 2025)

Different Questions, Different Models: Fine-Grained Evaluation of Uncertainty and Calibration in Clinical QA with LLMs. - Alberto Testoni; Iacer Calixto (CoRR, 2025)

DeVisE: Behavioral Testing of Medical Large Language Models. - Camila Zurdo Tagliabue; Heloísa Oss Boll; Aykut Erdem; Erkut Erdem; Iacer Calixto (CoRR, 2025)

DistillNote: LLM-based clinical note summaries improve heart failure diagnosis. - Heloísa Oss Boll; Antônio Oss Boll; Leticia Puttlitz Boll; Ameen Abu-Hanna; Iacer Calixto (CoRR, 2025)

Detection of Adverse Drug Events in Dutch clinical free text documents using Transformer Models: benchmark study. - Rachel M. Murphy; Nishant Mishra; Nicolette F. de Keizer; Dave A. Dongelmans; Kitty J. Jager; Ameen Abu-Hanna; Joanna E. Klopotowska; Iacer Calixto (CoRR, 2025)

Creation of a gold standard Dutch corpus of clinical notes for adverse drug event detection: the Dutch ADE corpus. - Rachel M. Murphy; Dave A. Dongelmans; Nicolette F. de Keizer; Rosa J. Jongeneel; Christiaan H. Koster; Kitty J. Jager; Ameen Abu-Hanna; Iacer Calixto; Joanna E. Klopotowska (Lang. Resour. Evaluation, 2025)