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ORCIDPiero Molino
Person information
- affiliation: University of Bari Aldo Moro, Italy
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2020 – today
- 2024
[i19]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 abs/2405.00732 (2024)- 2023
- [j7]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): 650-665 (2023) - [i18]Piero Molino, Jacopo Tagliabue:
Witgenstein's influence on artificial intelligence. CoRR abs/2302.01570 (2023) - 2022
- [j6]Piero Molino, Christopher Ré:
Declarative machine learning systems. Commun. ACM 65(1): 42-49 (2022) - 2021
- [j5]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): 46-76 (2021) - [c20]Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré:
Personalized Benchmarking with the Ludwig Benchmarking Toolkit. NeurIPS Datasets and Benchmarks 2021 - [i17]Piero Molino, Christopher Ré:
Declarative Machine Learning Systems. CoRR abs/2107.08148 (2021) - [i16]Avanika Narayan, Piero Molino, Karan Goel, Willie Neiswanger, Christopher Ré:
Personalized Benchmarking with the Ludwig Benchmarking Toolkit. CoRR abs/2111.04260 (2021) - 2020
- [c19]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: 3805-3817 - [c18]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: 6349-6353 - [c17]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 - [c16]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: 1488-1494 - [i15]Alexandros Papangelis, Mahdi Namazifar, Chandra Khatri, Yi-Chia Wang, Piero Molino, Gökhan Tür:
Plato Dialogue System: A Flexible Conversational AI Research Platform. CoRR abs/2001.06463 (2020) - [i14]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 abs/2001.08868 (2020) - [i13]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 abs/2002.00750 (2020) - [i12]Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino:
Controllable Text Generation with Focused Variation. CoRR abs/2009.12046 (2020)
2010 – 2019
- 2019
- [j4]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): 364-373 (2019) - [c15]Piero Molino, Yang Wang, Jiawei Zhang:
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae. ACL (3) 2019: 165-180 - [c14]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. EMNLP/IJCNLP (1) 2019: 1304-1310 - [c13]Alexandros Papangelis, Yi-Chia Wang, Piero Molino, Gökhan Tür:
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning. SIGdial 2019: 92-102 - [c12]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. SIGdial 2019: 178-187 - [i11]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 - [i10]Piero Molino, Yang Wang, Jiawei Zhang:
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae. CoRR abs/1905.12099 (2019) - [i9]Alexandros Papangelis, Yi-Chia Wang, Piero Molino, Gökhan Tür:
Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning. CoRR abs/1907.05507 (2019) - [i8]Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür:
Flexibly-Structured Model for Task-Oriented Dialogues. CoRR abs/1908.02402 (2019) - [i7]Lei Shu, Hu Xu, Bing Liu, Piero Molino:
Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR abs/1908.11546 (2019) - [i6]Piero Molino, Yaroslav Dudin, Sai Sumanth Miryala:
Ludwig: a type-based declarative deep learning toolbox. CoRR abs/1909.07930 (2019) - [i5]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 abs/1912.02164 (2019) - [i4]Avishek Joey Bose, Ankit Jain, Piero Molino, William L. Hamilton:
Meta-Graph: Few shot Link Prediction via Meta Learning. CoRR abs/1912.09867 (2019) - 2018
- [c11]Piero Molino, Huaixiu Zheng, Yi-Chia Wang:
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks. KDD 2018: 586-595 - [c10]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: 9628-9639 - [i3]Piero Molino, Huaixiu Zheng, Yi-Chia Wang:
COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks. CoRR abs/1807.01337 (2018) - [i2]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 abs/1807.03247 (2018) - [i1]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 abs/1808.00196 (2018) - 2016
- [j3]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): 4:1-4:40 (2016) - 2015
- [j2]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: 157-181 (2015) - 2014
- [c9]Piero Molino, Luca Maria Aiello:
Distributed Representations for Semantic Matching in non-factoid Question Answering. SMIR@SIGIR 2014: 38-45 - 2013
- [j1]Piero Molino, Gianvito Pio, Corrado Mencar:
Fast Fuzzy Inference in Octave. Int. J. Comput. Intell. Syst. 6(2): 307-317 (2013) - [c8]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: 205-216 - [c7]Piero Molino, Pierpaolo Basile, Annalina Caputo, Pasquale Lops, Giovanni Semeraro:
Distributional Semantics for Answer Re-ranking in Question Answering. IIR 2013: 100-103 - [c6]Piero Molino:
Semantic models for answer re-ranking in question answering. SIGIR 2013: 1146 - 2012
- [c5]Piero Molino, Pasquale Lops:
Semantic Models for Question Answering. DC@AI*IA 2012: 28-32 - [c4]Piero Molino, Pierpaolo Basile:
QuestionCube: a Framework for Question Answering. IIR 2012: 167-178 - [c3]Piero Molino, Pierpaolo Basile, Annalina Caputo, Pasquale Lops, Giovanni Semeraro:
Exploiting Distributional Semantic Models in Question Answering. ICSC 2012: 146-153 - 2011
- [p1]Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Piero Molino:
Motivating Serendipitous Encounters in Museum Recommendations. Advances in Distributed Agent-Based Retrieval Tools 2011: 159-167 - 2010
- [c2]Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Piero Molino:
Serendipitous Encounters along Dynamically Personalized Museum Tours. IIR 2010: 101-102
2000 – 2009
- 2008
- [c1]Leo Iaquinta, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Michele Filannino, Piero Molino:
Introducing Serendipity in a Content-Based Recommender System. HIS 2008: 168-173
Coauthor Index
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last updated on 2024-08-10 00:32 CEST by the dblp team
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