← Authors

Raffaella Bernardi

39 papers · 2009–2026 · 8 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (16) 🐝 Cross-Pollinator (13) 🗺️ Taxonomy Completionist (59) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (8) 🌟 Keyword Trendsetter Combo (4) 🤝 Dynamic Duo (15) 👥 Mega-Team (20) 🔬 Deep Specialist (11) 🏆 Keyword Champion (6) 🗃️ Keyword Collector (135) ⚡ Prolific Year (6) ❓ The Questioner (4) 🔥 Unstoppable (7) 💎 Century Club (37)

Conferences

ACL (12) EMNLP (10) EACL (5) NAACL (5) COLING (3) IJCNLP (2) IJCAI (1) SEMEVAL (1)

Top co-authors

Alberto Testoni (15) Raquel Fernández (8) Sandro Pezzelle (8) Luciana Benotti (5) Barbara Plank (5) Marco Baroni (4) Leonardo Bertolazzi (4) David Schlangen (4) Alessandro Suglia (4) Claudio Greco (4)

Keywords

multimodal learning (9) large language model (7) visual dialogue (6) dialogue system (5) visual grounding (4) benchmark evaluation (3) question generation (3) multimodal encoder (3) spatial question (3) visual question answering (3) cognitive modeling (2) multi-task learning (2) direct preference optimization (2) visual scene (2) multimodal conversation (2) syllogistic reasoning (2) supervised fine-tuning (2) conversational agent (2) image captioning (2) reinforcement learning (2)

Papers

Teaching Small Language Models to Learn Logic through Meta-Learning EACL 2026
The Price of Thought: A Multilingual Analysis of Reasoning, Performance, and Cost of Negotiation in Large Language Models EACL 2026
Playpen: An Environment for Exploring Learning From Dialogue Game Feedback EMNLP 2025
The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It EMNLP 2025
Argumentative Analysis of Legal Rulings: A Structured Framework Using Bobbitt’s Typology ACL 2025
All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark EMNLP 2025
Triangulating LLM Progress through Benchmarks, Games, and Cognitive Tests EMNLP 2025
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks ACL 2025
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences EMNLP 2024
Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information Gain EMNLP 2024
ACT-Thor: A Controlled Benchmark for Embodied Action Understanding in Simulated Environments COLING 2022
“I’ve Seen Things You People Wouldn’t Believe”: Hallucinating Entities in GuessWhat?! ACL 2021
Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy EMNLP 2021
Visually Grounded Follow-up Questions: a Dataset of Spatial Questions Which Require Dialogue History IJCNLP 2021
“I’ve Seen Things You People Wouldn’t Believe”: Hallucinating Entities in GuessWhat?! IJCNLP 2021
The Interplay of Task Success and Dialogue Quality: An in-depth Evaluation in Task-Oriented Visual Dialogues EACL 2021
Visually Grounded Follow-up Questions: a Dataset of Spatial Questions Which Require Dialogue History ACL 2021
Be Different to Be Better! A Benchmark to Leverage the Complementarity of Language and Vision EMNLP 2020
On the role of effective and referring questions in GuessWhat?! ACL 2020
Effective questions in referential visual dialogue ACL 2020
They Are Not All Alike: Answering Different Spatial Questions Requires Different Grounding Strategies EMNLP 2020
Proceedings of the Second Workshop on Shortcomings in Vision and Language NAACL 2019
Quantifiers in a Multimodal World: Hallucinating Vision with Language and Sound NAACL 2019
Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ACL 2019
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat NAACL 2019
Grounded Textual Entailment COLING 2018
Ask No More: Deciding when to guess in referential visual dialogue COLING 2018
Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision NAACL 2018
Some of Them Can be Guessed! Exploring the Effect of Linguistic Context in Predicting Quantifiers ACL 2018
FOIL it! Find One mismatch between Image and Language caption ACL 2017
Be Precise or Fuzzy: Learning the Meaning of Cardinals and Quantifiers from Vision EACL 2017
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract) IJCAI 2017
The LAMBADA dataset: Word prediction requiring a broad discourse context ACL 2016
SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment SEMEVAL 2014
A relatedness benchmark to test the role of determiners in compositional distributional semantics ACL 2013
Exploiting Language Models for Visual Recognition EMNLP 2013
Entailment above the word level in distributional semantics EACL 2012
Query classification using topic models and support vector machine ACL 2012
Exploring Topic Continuation Follow-up Questions using Machine Learning NAACL 2009