Distributional semantics from text and images. - Elia Bruni; Giang Binh Tran; Marco Baroni (GEMS, 2011)

Distributional Semantics in Technicolor. - Elia Bruni; Gemma Boleda; Marco Baroni; Nam-Khanh Tran (ACL (1), 2012)

Distributional semantics with eyes: using image analysis to improve computational representations of word meaning. - Elia Bruni; Jasper R. R. Uijlings; Marco Baroni; Nicu Sebe (ACM Multimedia, 2012)

In the eye of the beholder: employing statistical analysis and eye tracking for analyzing abstract paintings. - Victoria Yanulevskaya; Jasper R. R. Uijlings; Elia Bruni; Andreza Sartori; Elisa Zamboni; Francesca Bacci; David Melcher; Nicu Sebe (ACM Multimedia, 2012)

Automatic Analysis of Multimodal Requirements: A Research Preview. - Elia Bruni; Alessio Ferrari 001; Norbert Seyff; Gabriele Tolomei (REFSQ, 2012)

Visual Features for Linguists: Basic image analysis techniques for multimodally-curious NLPers. - Elia Bruni; Marco Baroni (ACL (Tutorial Abstracts), 2013)

VSEM: An open library for visual semantics representation. - Elia Bruni; Ulisse Bordignon; Adam Liska; Jasper R. R. Uijlings; Irina Sergienya (ACL (Conference System Demonstrations), 2013)

Of Words, Eyes and Brains: Correlating Image-Based Distributional Semantic Models with Neural Representations of Concepts. - Andrew J. Anderson; Elia Bruni; Ulisse Bordignon; Massimo Poesio; Marco Baroni (EMNLP, 2013)

Is this a wampimuk? Cross-modal mapping between distributional semantics and the visual world. - Angeliki Lazaridou; Elia Bruni; Marco Baroni (ACL (1), 2014)

Automatic Personality and Interaction Style Recognition from Facebook Profile Pictures. - Fabio Celli; Elia Bruni; Bruno Lepri (ACM Multimedia, 2014)

Multimodal Distributional Semantics. - Elia Bruni; Nam-Khanh Tran; Marco Baroni (J. Artif. Intell. Res., 2014)

Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text. - Andrew J. Anderson; Elia Bruni; Alessandro Lopopolo; Massimo Poesio; Marco Baroni (NeuroImage, 2015)

Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory. - Andreza Sartori; Victoria Yanulevskaya; Almila Akdag Salah; Jasper R. R. Uijlings; Elia Bruni; Nicu Sebe (ACM Trans. Interact. Intell. Syst., 2015)

Adversarial evaluation for open-domain dialogue generation. - Elia Bruni; Raquel Fernández (SIGDIAL Conference, 2017)

Gland segmentation in colon histology images: The glas challenge contest. - Korsuk Sirinukunwattana; Josien P. W. Pluim; Hao Chen 011; Xiaojuan Qi 001; Pheng-Ann Heng; Yun Bo Guo; Li Yang Wang; Bogdan J. Matuszewski; Elia Bruni; Urko Sanchez; Anton Böhm; Olaf Ronneberger; et al. (Medical Image Anal., 2017)

Ask No More: Deciding when to guess in referential visual dialogue. - Ravi Shekhar; Tim Baumgärtner; Aashish Venkatesh; Elia Bruni; Raffaella Bernardi; Raquel Fernández (COLING, 2018)

Adding Object Detection Skills to Visual Dialogue Agents. - Gabriele Bani; Davide Belli; Gautier Dagan; Alexander Geenen; Andrii Skliar; Aashish Venkatesh; Tim Baumgärtner; Elia Bruni; Raquel Fernández (ECCV Workshops (4), 2018)

Learning compositionally through attentive guidance. - Dieuwke Hupkes; Anand Singh; Kris Korrel; Germán Kruszewski; Elia Bruni (CoRR, 2018)

Jointly Learning to See, Ask, and GuessWhat. - Aashish Venkatesh; Ravi Shekhar; Tim Baumgärtner; Elia Bruni; Raffaella Bernardi; Raquel Fernández (CoRR, 2018)

The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue. - Janosch Haber; Tim Baumgärtner; Ece Takmaz; Lieke Gelderloos; Elia Bruni; Raquel Fernández (ACL (1), 2019)

On the Realization of Compositionality in Neural Networks. - Joris Baan; Jana Leible; Mitja Nikolaus; David Rau; Dennis Ulmer; Tim Baumgärtner; Dieuwke Hupkes; Elia Bruni (BlackboxNLP@ACL, 2019)

Transcoding Compositionally: Using Attention to Find More Generalizable Solutions. - Kris Korrel; Dieuwke Hupkes; Verna Dankers; Elia Bruni (BlackboxNLP@ACL, 2019)

Learning to request guidance in emergent language. - Benjamin Kolb; Leon Lang; Henning Bartsch; Arwin Gansekoele; Raymond Koopmanschap; Leonardo Romor; David Speck 002; Mathijs Mul; Elia Bruni (LANTERN@EMNLP-IJCNLP, 2019)

The Fast and the Flexible: Training Neural Networks to Learn to Follow Instructions from Small Data. - Rezka Leonandya; Dieuwke Hupkes; Elia Bruni; Germán Kruszewski (IWCS (1), 2019)

Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat. - Ravi Shekhar; Aashish Venkatesh; Tim Baumgärtner; Elia Bruni; Barbara Plank; Raffaella Bernardi; Raquel Fernández (NAACL-HLT (1), 2019)

Assessing Incrementality in Sequence-to-Sequence Models. - Dennis Ulmer; Dieuwke Hupkes; Elia Bruni (RepL4NLP@ACL, 2019)

Mastering emergent language: learning to guide in simulated navigation. - Mathijs Mul; Diane Bouchacourt; Elia Bruni (CoRR, 2019)

The compositionality of neural networks: integrating symbolism and connectionism. - Dieuwke Hupkes; Verna Dankers; Mathijs Mul; Elia Bruni (CoRR, 2019)

Learning to Request Guidance in Emergent Communication. - Benjamin Kolb; Leon Lang; Henning Bartsch; Arwin Gansekoele; Raymond Koopmanschap; Leonardo Romor; David Speck 002; Mathijs Mul; Elia Bruni (CoRR, 2019)

Modelling Form-Meaning Systematicity with Linguistic and Visual Features. - Arie Soeteman; E. Dario Gutiérrez; Elia Bruni; Ekaterina Shutova (AAAI, 2020)

Location Attention for Extrapolation to Longer Sequences. - Yann Dubois; Gautier Dagan; Dieuwke Hupkes; Elia Bruni (ACL, 2020)

Internal and External Pressures on Language Emergence: Least Effort, Object Constancy and Frequency. - Diana Rodríguez Luna; Edoardo Maria Ponti; Dieuwke Hupkes; Elia Bruni (EMNLP (Findings), 2020)

The Grammar of Emergent Languages. - Oskar van der Wal; Silvan de Boer; Elia Bruni; Dieuwke Hupkes (EMNLP (1), 2020)

Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract). - Dieuwke Hupkes; Verna Dankers; Mathijs Mul; Elia Bruni (IJCAI, 2020)

Incentivizing the Emergence of Grounded Discrete Communication Between General Agents. - Thomas A. Unger; Elia Bruni (CoRR, 2020)

Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning. - Michiel van der Meer; Matteo Pirotta; Elia Bruni (CoRR, 2020)

Compositional properties of emergent languages in deep learning. - Bence Keresztury; Elia Bruni (CoRR, 2020)

Compositionality Decomposed: How do Neural Networks Generalise? - Dieuwke Hupkes; Verna Dankers; Mathijs Mul; Elia Bruni (J. Artif. Intell. Res., 2020)

Co-evolution of language and agents in referential games. - Gautier Dagan; Dieuwke Hupkes; Elia Bruni (EACL, 2021)

Language Modelling as a Multi-Task Problem. - Lucas Weber; Jaap Jumelet; Elia Bruni; Dieuwke Hupkes (EACL, 2021)

The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study. - Verna Dankers; Elia Bruni; Dieuwke Hupkes (ACL (1), 2022)

Emergence of Hierarchical Reference Systems in Multi-agent Communication. - Xenia Ohmer; Marko Duda; Elia Bruni (COLING, 2022)

Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learning. - Lucas Weber; Elia Bruni; Dieuwke Hupkes (CoNLL, 2023)

Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses. - Xenia Ohmer; Elia Bruni; Dieuwke Hupkes (CoRR, 2023)

Curriculum Learning with Adam: The Devil Is in the Wrong Details. - Lucas Weber; Jaap Jumelet; Paul Michel; Elia Bruni; Dieuwke Hupkes (CoRR, 2023)

The ICL Consistency Test. - Lucas Weber; Elia Bruni; Dieuwke Hupkes (CoRR, 2023)

Interpretability of Language Models via Task Spaces. - Lucas Weber; Jaap Jumelet; Elia Bruni; Dieuwke Hupkes (ACL (1), 2024)

Context Shapes Emergent Communication about Concepts at Different Levels of Abstraction. - Kristina Kobrock; Xenia Isabel Ohmer; Elia Bruni; Nicole Gotzner (LREC/COLING, 2024)

GRASP: A Novel Benchmark for Evaluating Language GRounding and Situated Physics Understanding in Multimodal Language Models. - Serwan Jassim; Mario Holubar; Annika Richter; Cornelius Wolff; Xenia Ohmer; Elia Bruni (IJCAI, 2024)

From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency. - Xenia Ohmer; Elia Bruni; Dieuwke Hupkes (Comput. Linguistics, 2024)

A Review of Nine Physics Engines for Reinforcement Learning Research. - Michael Kaup; Cornelius Wolff; Hyerim Hwang; Julius Mayer 001; Elia Bruni (CoRR, 2024)

Emergent Language in Open-Ended Environments. - Cornelius Wolff; Julius Mayer 001; Elia Bruni; Xenia Ohmer (CoRR, 2024)

Agents generalize to novel levels of abstraction by using adaptive linguistic strategies. - Kristina Kobrock; Xenia Ohmer; Elia Bruni; Nicole Gotzner (ACL (Findings), 2025)

iVISPAR - An Interactive Visual-Spatial Reasoning Benchmark for VLMs. - Julius Mayer 001; Mohamad Ballout; Serwan Jassim; Farbod Nosrat Nezami; Elia Bruni (CoRR, 2025)

Pixels to Principles: Probing Intuitive Physics Understanding in Multimodal Language Models. - Mohamad Ballout; Serwan Jassim; Elia Bruni (CoRR, 2025)