Piero Molino

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 36

Top Topics

Machine Learning Systems

Semantic Matching

Convolutional Neural Networks

Distributed Representations

Top Venues

Publications

Justin Zhao, Timothy Wang, Wael Abid, Geoffrey Angus, Arnav Garg, Jeffery Kinnison, Alex Sherstinsky, Piero Molino, Travis Addair, Devvret Rishi
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report. CoRR (2024)
Piero Molino, Jacopo Tagliabue
Witgenstein's influence on artificial intelligence. CoRR (2023)
Sara Colombo, Estefania Ciliotta, Lucia Marengo, Houjiang Liu, Piero Molino, Paolo Ciuccarelli
Design for Emergency: How Digital Technologies Enabled an Open Design Platform to Respond to COVID-19. Interact. Comput. 35 (5) (2023)
Piero Molino, Christopher Ré
Declarative machine learning systems. Commun. ACM 65 (1) (2022)
Piero Molino, Christopher Ré
Declarative Machine Learning Systems. CoRR (2021)
Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
Personalized Benchmarking with the Ludwig Benchmarking Toolkit. CoRR (2021)
Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
Personalized Benchmarking with the Ludwig Benchmarking Toolkit. NeurIPS Datasets and Benchmarks (2021)
Piero Molino, Christopher Ré
Declarative Machine Learning Systems: The future of machine learning will depend on it being in the hands of the rest of us. ACM Queue 19 (3) (2021)
Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gökhan Tür
Exploration Based Language Learning for Text-Based Games. IJCAI (2020)
Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gökhan Tür
Exploration Based Language Learning for Text-Based Games. CoRR (2020)
Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
Controllable Text Generation with Focused Variation. EMNLP (Findings) (2020)
Yue Weng, Sai Sumanth Miryala, Chandra Khatri, Runze Wang, Huaixiu Zheng, Piero Molino, Mahdi Namazifar, Alexandros Papangelis, Hugh Williams, Franziska Bell, Gökhan Tür
Joint Contextual Modeling for ASR Correction and Language Understanding. CoRR (2020)
Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
Controllable Text Generation with Focused Variation. CoRR (2020)
Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri, Yi-Chia Wang, Piero Molino, Gökhan Tür
Plato Dialogue System: A Flexible Conversational AI Research Platform. CoRR (2020)
Yue Weng, Sai Sumanth Miryala, Chandra Khatri, Runze Wang, Huaixiu Zheng, Piero Molino, Mahdi Namazifar, Alexandros Papangelis, Hugh Williams, Franziska Bell, Gökhan Tür
Joint Contextual Modeling for ASR Correction and Language Understanding. ICASSP (2020)
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
Plug and Play Language Models: A Simple Approach to Controlled Text Generation. ICLR (2020)
Lei Shu, Hu Xu, Bing Liu, Piero Molino
Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR (2019)
Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton
Meta-Graph: Few shot Link Prediction via Meta Learning. CoRR (2019)
Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür
Flexibly-Structured Model for Task-Oriented Dialogues. CoRR (2019)
Alexandros Papangelis, Yi-Chia Wang, Piero Molino, Gökhan Tür
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning. CoRR (2019)
Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, David S. Ebert
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Piero Molino, Yang Wang, Jiawei Zhang
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae. ACL (3) (2019)
Dian Yu, Chandra Khatri, Alexandros Papangelis, Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Adrien Ecoffet, Huaixiu Zheng, Piero Molino, Jeff Clune, Zhou Yu, Kenji Sagae, Gökhan Tür
Commonsense and Semantic-Guided Navigation through Language in Embodied Environment. ViGIL@NeurIPS (2019)
Piero Molino, Yaroslav Dudin, Sai Sumanth Miryala
Ludwig: a type-based declarative deep learning toolbox. CoRR (2019)
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
Plug and Play Language Models: A Simple Approach to Controlled Text Generation. CoRR (2019)
Alexandros Papangelis, Yi-Chia Wang, Piero Molino, Gökhan Tür
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning. SIGdial (2019)
Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür
Flexibly-Structured Model for Task-Oriented Dialogues. SIGdial (2019)
Piero Molino, Yang Wang, Jiawei Zhang
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae. CoRR (2019)
Lei Shu, Hu Xu, Bing Liu, Piero Molino
Modeling Multi-Action Policy for Task-Oriented Dialogues. EMNLP/IJCNLP (1) (2019)
Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, David S. Ebert
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models. CoRR (2018)
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution. CoRR (2018)
Piero Molino, Huaixiu Zheng, Yi-Chia Wang
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks. CoRR (2018)
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
An intriguing failing of convolutional neural networks and the CoordConv solution. NeurIPS (2018)
Piero Molino, Huaixiu Zheng, Yi-Chia Wang
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks. KDD (2018)
Piero Molino, Luca Maria Aiello, Pasquale Lops
Social Question Answering: Textual, User, and Network Features for Best Answer Prediction. ACM Trans. Inf. Syst. 35 (1) (2016)
Piero Molino, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Pierpaolo Basile
Playing with knowledge: A virtual player for "Who Wants to Be a Millionaire?" that leverages question answering techniques. Artif. Intell. 222 (2015)
Piero Molino, Luca Maria Aiello
Distributed Representations for Semantic Matching in non-factoid Question Answering. SMIR@SIGIR (2014)
Piero Molino
Semantic models for answer re-ranking in question answering. SIGIR (2013)
Piero Molino, Gianvito Pio, Corrado Mencar
Fast Fuzzy Inference in Octave. Int. J. Comput. Intell. Syst. 6 (2) (2013)
Piero Molino, Pierpaolo Basile, Ciro Santoro, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
A Virtual Player for "Who Wants to Be a Millionaire?" based on Question Answering. AI*IA (2013)
Piero Molino, Pierpaolo Basile, Annalina Caputo, Pasquale Lops, Giovanni Semeraro
Distributional Semantics for Answer Re-ranking in Question Answering. IIR (2013)
Piero Molino, Pierpaolo Basile
QuestionCube: a Framework for Question Answering. IIR (2012)
Piero Molino, Pasquale Lops
Semantic Models for Question Answering. DC@AI*IA (2012)
Piero Molino, Pierpaolo Basile, Annalina Caputo, Pasquale Lops, Giovanni Semeraro
Exploiting Distributional Semantic Models in Question Answering. ICSC (2012)
Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Piero Molino
Serendipitous Encounters along Dynamically Personalized Museum Tours. IIR (2010)
Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Michele Filannino, Piero Molino
Introducing Serendipity in a Content-Based Recommender System. HIS (2008)