Raffaella Bernardi
39 papers · 2009–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (16)
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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
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