Andrea Madotto

Orcid: 0000-0002-8672-715X

According to our database1, Andrea Madotto authored at least 75 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM.
CoRR, 2024

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text.
CoRR, 2024

2023
Survey of Hallucination in Natural Language Generation.
ACM Comput. Surv., December, 2023

AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model.
CoRR, 2023

A Survey of Datasets, Applications, and Models for IMU Sensor Signals.
Proceedings of the IEEE International Conference on Acoustics, 2023

IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Continual Dialogue State Tracking via Example-Guided Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text.
CoRR, 2022

Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values.
CoRR, 2022

AiSocrates: Towards Answering Ethical Quandary Questions.
CoRR, 2022

VScript: Controllable Script Generation with Audio-Visual Presentation.
CoRR, 2022

NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

VScript: Controllable Script Generation with Visual Presentation.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

QAConv: Question Answering on Informative Conversations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters.
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems.
CoRR, 2021

Language Models are Few-shot Multilingual Learners.
CoRR, 2021

Taming the Beast: Learning to Control Neural Conversational Models.
CoRR, 2021

Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters.
CoRR, 2021

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking.
CoRR, 2021

Dynamically Addressing Unseen Rumor via Continual Learning.
CoRR, 2021

Mitigating Media Bias through Neutral Article Generation.
CoRR, 2021

Towards Few-Shot Fact-Checking via Perplexity.
CoRR, 2021

Assessing Political Prudence of Open-domain Chatbots.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Preserving Cross-Linguality of Pre-trained Models via Continual Learning.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue Modeling.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue StateTracking.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Towards Few-shot Fact-Checking via Perplexity.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Continual Learning in Task-Oriented Dialogue Systems.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Zero-Shot Dialogue State Tracking via Cross-Task Transfer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CAiRE in DialDoc21: Data Augmentation for Information Seeking Dialogue System.
Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering, 2021

Are Multilingual Models Effective in Code-Switching?
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, 2021

On the Importance of Word Order Information in Cross-lingual Sequence Labeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

CrossNER: Evaluating Cross-Domain Named Entity Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

The Adapter-Bot: All-In-One Controllable Conversational Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Continual Learning in Task-Oriented Dialogue Systems.
CoRR, 2020

Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems.
CoRR, 2020

Misinformation Has High Perplexity.
CoRR, 2020

Exploring Fine-tuning Techniques for Pre-trained Cross-lingual Models via Continual Learning.
CoRR, 2020

XPersona: Evaluating Multilingual Personalized Chatbot.
CoRR, 2020

Attention over Parameters for Dialogue Systems.
CoRR, 2020

Getting To Know You: User Attribute Extraction from Dialogues.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Learning Fast Adaptation on Cross-Accented Speech Recognition.
Proceedings of the Interspeech 2020, 2020

Exploration Based Language Learning for Text-Based Games.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Plug and Play Language Models: A Simple Approach to Controlled Text Generation.
Proceedings of the 8th International Conference on Learning Representations, 2020

Generating Empathetic Responses by Looking Ahead the User's Sentiment.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Plug-and-Play Conversational Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression.
CoRR, 2019

HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead.
CoRR, 2019

CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Commonsense and Semantic-Guided Navigation through Language in Embodied Environment.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

MoEL: Mixture of Empathetic Listeners.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Personalizing Dialogue Agents via Meta-Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Exploring Social Bias in Chatbots using Stereotype Knowledge.
Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2018
Towards End-to-end Automatic Code-Switching Speech Recognition.
CoRR, 2018

Learn to Code-Switch: Data Augmentation using Copy Mechanism on Language Modeling.
CoRR, 2018

Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

End-to-End Dynamic Query Memory Network for Entity-Value Independent Task-Oriented Dialog.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition.
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018

Code-Switching Language Modeling using Syntax-Aware Multi-Task Learning.
Proceedings of the Third Workshop on Computational Approaches to Linguistic Code-Switching@ACL 2018, 2018

2017
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Question Dependent Recurrent Entity Network for Question Answering.
Proceedings of the 1st Workshop on Natural Language for Artificial Intelligence co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), Bari, Italy, November 16th - to, 2017

2015
A multistrain bacterial model for link prediction andrea chiancone.
Proceedings of the 11th International Conference on Natural Computation, 2015


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