Publications

See also: Google Scholar

2025

M. Ahmad, M. Ballout, R. Abu Ahmad and E. Bruni. Transformer Tafsir at QIAS 2025 Shared Task: Hybrid Retrieval-Augmented Generation for Islamic Knowledge Question Answering. ANLP Shared Tasks, 2025

M. Ballout, O. Wilfred, S. Yaghoubi, N. Abdelmoneim, J. Mayer and E. Bruni. Can you SPLICE it together? A Human Curated Benchmark for Probing Visual Reasoning in VLMs. EMNLP, 2025

K. Kobrock, X. Ohmer, E. Bruni and N. Gotzner. Agents generalize to novel levels of abstraction by using adaptive linguistic strategies. ACL, 2025

M. Ballout, S. Jassim and E. Bruni. Pixels to Principles: Probing Intuitive Physics Understanding in Multimodal Language Models. arXiv preprint, 2025

J. Mayer, M. Ballout, S. Jassim, F. Nezami and E. Bruni. iVISPAR – An Interactive Visual-Spatial Reasoning Benchmark for VLMs. EMNLP, 2025

2024

C. Wolff, J. Mayer, E. Bruni and X. Ohmer. Emergent Language in Open-Ended Environments. arXiv preprint, 2024

L. Weber, J. Jumelet, E. Bruni and D. Hupkes. Interpretability of Language Models via Task Spaces. ACL, 2024

X. Ohmer, E. Bruni and D. Hupkes. From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency. Computational Linguistics, 2024

K. Kobrock, X. Ohmer, E. Bruni and N. Gotzner. Context Shapes Emergent Communication about Concepts at Different Levels of Abstraction. LREC, 2024

C. Wolff, J. Mayer, E. Bruni and X. Ohmer. Bidirectional Emergent Language in Situated Environments. 2024

M. Kaup, C. Wolff, H. Hwang, J. Mayer and E. Bruni. A Review of Nine Physics Engines for Reinforcement Learning Research. arXiv preprint, 2024

2023

S. Jassim, M.S. Holubar, A. Richter, C. Wolff, X. Ohmer and E. Bruni. GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding. IJCAI, 2023

L. Weber, E. Bruni and D. Hupkes. Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. CoNLL, 2023

L. Weber, E. Bruni and D. Hupkes. The ICL Consistency Test. arXiv preprint, 2023

X. Ohmer, E. Bruni and D. Hupkes. Evaluating task understanding through multilingual consistency: A ChatGPT case study. 2023

L. Weber, J. Jumelet, P. Michel, E. Bruni and D. Hupkes. Curriculum Learning with Adam: The Devil Is in the Wrong Details. arXiv preprint, 2023

X. Ohmer, E. Bruni and D. Hupkes. Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses. GEM Workshop, 2023

2022

X. Ohmer, M. Duda and E. Bruni. Emergence of Hierarchical Reference Systems in Multi-agent Communication. COLING, 2022

2021

L. Weber, J. Jumelet, E. Bruni and D. Hupkes. Language Modelling as a Multi-Task Problem. EACL, 2021

V. Dankers, E. Bruni and D. Hupkes. The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. ACL, 2021

2020

O. van der Wal, S. de Boer, E. Bruni and D. Hupkes. The Grammar of Emergent Languages. EMNLP, 2020

D. Rodriguez Luna, E.M. Ponti, D. Hupkes and E. Bruni. Internal and External Pressures on Language Emergence: Least Effort, Object Constancy and Frequency. EMNLP Findings, 2020

Y. Dubois, G. Dagan, D. Hupkes and E. Bruni. Location Attention for Extrapolation to Longer Sequences. ACL, 2020

B. Keresztury and E. Bruni. Compositional properties of emergent languages in deep learning. arXiv preprint, 2020

A. Soeteman, E. Gutierrez, E. Bruni and E. Shutova. Modelling Form-Meaning Systematicity with Linguistic and Visual Features. AAAI, 2020

M. van der Meer, M. Pirotta and E. Bruni. Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning. arXiv preprint, 2020

G. Dagan, D. Hupkes and E. Bruni. Co-evolution of language and agents in referential games. EACL, 2020

T.A. Unger and E. Bruni. Incentivizing the Emergence of Grounded Discrete Communication Between General Agents. arXiv preprint, 2020

D. Hupkes, V. Dankers, M. Mul and E. Bruni. Compositionality Decomposed: How do Neural Networks Generalise?. JAIR / IJCAI, 2020. 2025 IJCAI-JAIR Best Paper Prize

2019

B. Kolb, L. Lang, H. Bartsch, A. Gansekoele, R. Koopmanschap, L. Romor, D. Speck, M. Mul and E. Bruni. Learning to Request Guidance in Emergent Communication. EMNLP Workshop LANTERN, 2019

D. Hupkes, V. Dankers, M. Mul and E. Bruni. The compositionality of neural networks: integrating symbolism and connectionism. Journal of Artificial Intelligence Research, 2019

M. Mul, D. Bouchacourt and E. Bruni. Mastering emergent language: learning to guide in simulated navigation. arXiv preprint, 2019

D. Ulmer, D. Hupkes and E. Bruni. Assessing incrementality in sequence-to-sequence models. ACL Workshop RepL4NLP, 2019

K. Korrel, D. Hupkes, V. Dankers and E. Bruni. Transcoding compositionally: using attention to find more generalizable solutions. ACL Workshop BlackboxNLP, 2019

J. Baan, J. Leible, M. Nikolaus, D. Rau, T. Baumgartner, D. Hupkes and E. Bruni. On the Realization of Compositionality in Neural Networks. ACL Workshop BlackboxNLP, 2019

J. Haber, T. Baumgartner, E. Takmaz, L. Gelderloos, E. Bruni and R. Fernandez. The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue. ACL, 2019

R. Leonandya, E. Bruni, D. Hupkes and G. Kruszewski. The Fast and the Flexible: training neural networks to learn to follow instructions from small data. IWCS, 2019

D. Hupkes, A.K. Singh, K. Korrel, G. Kruszewski and E. Bruni. Learning compositionally through attentive guidance. CICLing, 2019

A. Venkatesh, R. Shekhar, T. Baumgartner, E. Bruni, B. Plank, R. Bernardi and R. Fernandez. Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat. NAACL, 2019

2018

G. Bani, D. Belli, G. Dagan, A. Geenen, A. Skliar, A. Venkatesh, T. Baumgartner, E. Bruni and R. Fernandez. Adding object detection skills to visual dialogue agents. Workshop on Shortcomings in Vision and Language (SiVL) at ECCV, 2018

R. Shekhar, T. Baumgartner, A. Venkatesh, E. Bruni, R. Bernardi and R. Fernandez. Ask No More: Deciding when to guess in referential visual dialogue. COLING, 2018

2017

E. Bruni and R. Fernandez. Adversarial evaluation for open-domain dialogue generation. SIGdial, 2017

K. Sirinukunwattana et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women with Breast Cancer. JAMA 318.22, 2017

2016

K. Sirinukunwattana et al. Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest. Medical Image Analysis, 2016

2015

A.J. Anderson, E. Bruni, A. Lopopolo, M. Poesio and M. Baroni. Reading visually embodied meaning from the brain: visually grounded computational models decode visual-object mental imagery induced by written text. NeuroImage, 2015

A. Sartori, V. Yanulevskaya, A.A. Salah, J. Uijlings, E. Bruni and N. Sebe. Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory. ACM Transactions on Interactive Intelligent Systems, 2015

2014

F. Celli, E. Bruni and B. Lepri. Automatic Personality and Interaction Style Recognition from Facebook Profile Pictures. ACM Multimedia, 2014

A. Lazaridou, E. Bruni and M. Baroni. Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world. ACL, 2014

E. Bruni, N.K. Tran and M. Baroni. Multimodal Distributional Semantics. Journal of Artificial Intelligence Research 49: 1-47, 2014. IJCAI-JAIR Best Paper Prize

2013

E. Bruni and M. Baroni. Visual Features for Linguists: Basic image analysis techniques for multimodally-curious NLPers. ACL Tutorial, 2013

A.J. Anderson, E. Bruni, U. Bordignon, M. Poesio and M. Baroni. Of Words, Eyes and Brains: Correlating image-based distributional semantic models with neural representations of concepts. EMNLP, 2013

E. Bruni, U. Bordignon, A. Liska, J. Uijlings and I. Sergienya. VSEM: An open library for visual semantics representation. ACL (System Demonstration), 2013

2012

E. Bruni, J. Uijlings, M. Baroni and N. Sebe. Distributional Semantics with Eyes: Using Image Analysis to Improve Computational Representations of Word Meaning. ACM Multimedia, 2012

V. Yanulevskaya, J. Uijlings, E. Bruni, A. Sartori, F. Bacci, N. Sebe, E. Zamboni and D. Melcher. In the eye of the beholder: Employing statistical analysis and eye tracking for analyzing abstract paintings. ACM Multimedia, 2012

E. Bruni, G. Boleda, M. Baroni and N.K. Tran. Distributional Semantics in Technicolor. ACL, 2012

E. Bruni, A. Ferrari, N. Seyff and G. Tolomei. Automatic Analysis of Multimodal Requirements: A Research Preview. REFSQ, 2012

2011

E. Bruni, G.B. Tran and M. Baroni. Distributional semantics from text and images. EMNLP Workshop GEMS, 2011

PhD Thesis

E. Bruni. Multimodal distributional semantics. PhD Thesis, University of Trento, 2013