Piero Molino

47 papers A* 5B 2C 1Misc 1Journal 25Unranked 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report.
CoRR
Justin Zhao, Timothy Wang, Wael Abid, Geoffrey Angus, Arnav Garg, Jeffery Kinnison, Alex Sherstinsky, Piero Molino, Travis Addair, Devvret Rishi
2023 J jnl
Design for Emergency: How Digital Technologies Enabled an Open Design Platform to Respond to COVID-19.
Interact. Comput.
Sara Colombo, Estefania Ciliotta, Lucia Marengo, Houjiang Liu, Piero Molino, Paolo Ciuccarelli
2023 J jnl
Witgenstein's influence on artificial intelligence.
CoRR
Piero Molino, Jacopo Tagliabue
2022 J jnl
Declarative machine learning systems.
Commun. ACM
Piero Molino, Christopher Ré
2021 J jnl
Declarative Machine Learning Systems.
CoRR
Piero Molino, Christopher Ré
2021 J jnl
Declarative Machine Learning Systems: The future of machine learning will depend on it being in the hands of the rest of us.
ACM Queue
Piero Molino, Christopher Ré
2021 — conf
Personalized Benchmarking with the Ludwig Benchmarking Toolkit.
NeurIPS Datasets and Benchmarks
Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
2021 J jnl
Personalized Benchmarking with the Ludwig Benchmarking Toolkit.
CoRR
Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré
2020 — conf
Controllable Text Generation with Focused Variation.
EMNLP (Findings)
Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
2020 J jnl
Controllable Text Generation with Focused Variation.
CoRR
Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
2020 A* conf
Exploration Based Language Learning for Text-Based Games.
IJCAI
Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gökhan Tür
2020 J jnl
Exploration Based Language Learning for Text-Based Games.
CoRR
Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gökhan Tür
2020 Misc conf
Joint Contextual Modeling for ASR Correction and Language Understanding.
ICASSP
Yue Weng, Sai Sumanth Miryala, Chandra Khatri, Runze Wang, Huaixiu Zheng, Piero Molino, Mahdi Namazifar, Alexandros Papangelis, Hugh Williams, Franziska Bell, Gökhan Tür
2020 J jnl
Joint Contextual Modeling for ASR Correction and Language Understanding.
CoRR
Yue Weng, Sai Sumanth Miryala, Chandra Khatri, Runze Wang, Huaixiu Zheng, Piero Molino, Mahdi Namazifar, Alexandros Papangelis, Hugh Williams, Franziska Bell, Gökhan Tür
2020 J jnl
Plato Dialogue System: A Flexible Conversational AI Research Platform.
CoRR
Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri, Yi-Chia Wang, Piero Molino, Gökhan Tür
2020 A* conf
Plug and Play Language Models: A Simple Approach to Controlled Text Generation.
ICLR
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
2019 B conf
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning.
SIGdial
Alexandros Papangelis, Yi-Chia Wang, Piero Molino, Gökhan Tür
2019 J jnl
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning.
CoRR
Alexandros Papangelis, Yi-Chia Wang, Piero Molino, Gökhan Tür
2019 — conf
Commonsense and Semantic-Guided Navigation through Language in Embodied Environment.
ViGIL@NeurIPS
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
2019 B conf
Flexibly-Structured Model for Task-Oriented Dialogues.
SIGdial
Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür
2019 J jnl
Flexibly-Structured Model for Task-Oriented Dialogues.
CoRR
Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür
2019 J jnl
Ludwig: a type-based declarative deep learning toolbox.
CoRR
Piero Molino, Yaroslav Dudin, Sai Sumanth Miryala
2019 J jnl
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models.
IEEE Trans. Vis. Comput. Graph.
Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, David S. Ebert
2019 J jnl
Meta-Graph: Few shot Link Prediction via Meta Learning.
CoRR
Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton
2019 — conf
Modeling Multi-Action Policy for Task-Oriented Dialogues.
EMNLP/IJCNLP (1)
Lei Shu, Hu Xu, Bing Liu, Piero Molino
2019 J jnl
Modeling Multi-Action Policy for Task-Oriented Dialogues.
CoRR
Lei Shu, Hu Xu, Bing Liu, Piero Molino
2019 — conf
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae.
ACL (3)
Piero Molino, Yang Wang, Jiawei Zhang
2019 J jnl
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae.
CoRR
Piero Molino, Yang Wang, Jiawei Zhang
2019 J jnl
Plug and Play Language Models: A Simple Approach to Controlled Text Generation.
CoRR
Sumanth Dathathri, Andrea Madotto, Janice Lan, Jane Hung, Eric Frank, Piero Molino, Jason Yosinski, Rosanne Liu
2018 J jnl
An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution.
CoRR
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
2018 A* conf
An intriguing failing of convolutional neural networks and the CoordConv solution.
NeurIPS
Rosanne Liu, Joel Lehman, Piero Molino, Felipe Petroski Such, Eric Frank, Alex Sergeev, Jason Yosinski
2018 A* conf
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks.
KDD
Piero Molino, Huaixiu Zheng, Yi-Chia Wang
2018 J jnl
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks.
CoRR
Piero Molino, Huaixiu Zheng, Yi-Chia Wang
2018 J jnl
Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models.
CoRR
Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, David S. Ebert
2016 J jnl
Social Question Answering: Textual, User, and Network Features for Best Answer Prediction.
ACM Trans. Inf. Syst.
Piero Molino, Luca Maria Aiello, Pasquale Lops
2015 J jnl
Playing with knowledge: A virtual player for "Who Wants to Be a Millionaire?" that leverages question answering techniques.
Artif. Intell.
Piero Molino, Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Pierpaolo Basile
2014 — conf
Distributed Representations for Semantic Matching in non-factoid Question Answering.
SMIR@SIGIR
Piero Molino, Luca Maria Aiello
2013 — conf
A Virtual Player for "Who Wants to Be a Millionaire?" based on Question Answering.
AI*IA
Piero Molino, Pierpaolo Basile, Ciro Santoro, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2013 — conf
Distributional Semantics for Answer Re-ranking in Question Answering.
IIR
Piero Molino, Pierpaolo Basile, Annalina Caputo, Pasquale Lops, Giovanni Semeraro
2013 J jnl
Fast Fuzzy Inference in Octave.
Int. J. Comput. Intell. Syst.
Piero Molino, Gianvito Pio, Corrado Mencar
2013 A* conf
Semantic models for answer re-ranking in question answering.
SIGIR
Piero Molino
2012 — conf
Exploiting Distributional Semantic Models in Question Answering.
ICSC
Piero Molino, Pierpaolo Basile, Annalina Caputo, Pasquale Lops, Giovanni Semeraro
2012 — conf
QuestionCube: a Framework for Question Answering.
IIR
Piero Molino, Pierpaolo Basile
2012 — conf
Semantic Models for Question Answering.
DC@AI*IA
Piero Molino, Pasquale Lops
2011 — ch.
Motivating Serendipitous Encounters in Museum Recommendations.
Advances in Distributed Agent-Based Retrieval Tools
Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Piero Molino
2010 — conf
Serendipitous Encounters along Dynamically Personalized Museum Tours.
IIR
Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Piero Molino
2008 C conf
Introducing Serendipity in a Content-Based Recommender System.
HIS
Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Michele Filannino, Piero Molino