Introducing Serendipity in a Content-Based Recommender System. - Leo Iaquinta; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro; Michele Filannino; Piero Molino (HIS, 2008)

Serendipitous Encounters along Dynamically Personalized Museum Tours. - Leo Iaquinta; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro; Piero Molino (IIR, 2010)

Motivating Serendipitous Encounters in Museum Recommendations. - Leo Iaquinta; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro; Piero Molino (Advances in Distributed Agent-Based Retrieval Tools, 2011)

Semantic Models for Question Answering. - Piero Molino; Pasquale Lops (DC@AI*IA, 2012)

QuestionCube: a Framework for Question Answering. - Piero Molino; Pierpaolo Basile (IIR, 2012)

Exploiting Distributional Semantic Models in Question Answering. - Piero Molino; Pierpaolo Basile; Annalina Caputo; Pasquale Lops; Giovanni Semeraro (ICSC, 2012)

A Virtual Player for "Who Wants to Be a Millionaire?" based on Question Answering. - Piero Molino; Pierpaolo Basile; Ciro Santoro; Pasquale Lops; Marco de Gemmis; Giovanni Semeraro (AI*IA, 2013)

Distributional Semantics for Answer Re-ranking in Question Answering. - Piero Molino; Pierpaolo Basile; Annalina Caputo; Pasquale Lops; Giovanni Semeraro (IIR, 2013)

Semantic models for answer re-ranking in question answering. - Piero Molino (SIGIR, 2013)

Fast Fuzzy Inference in Octave. - Piero Molino; Gianvito Pio; Corrado Mencar (Int. J. Comput. Intell. Syst., 2013)

Distributed Representations for Semantic Matching in non-factoid Question Answering. - Piero Molino; Luca Maria Aiello (SMIR@SIGIR, 2014)

Playing with knowledge: A virtual player for "Who Wants to Be a Millionaire?" that leverages question answering techniques. - Piero Molino; Pasquale Lops; Giovanni Semeraro; Marco de Gemmis; Pierpaolo Basile (Artif. Intell., 2015)

Social Question Answering: Textual, User, and Network Features for Best Answer Prediction. - Piero Molino; Luca Maria Aiello; Pasquale Lops (ACM Trans. Inf. Syst., 2016)

COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks. - Piero Molino; Huaixiu Zheng; Yi-Chia Wang (KDD, 2018)

An intriguing failing of convolutional neural networks and the CoordConv solution. - Rosanne Liu; Joel Lehman; Piero Molino; Felipe Petroski Such; Eric Frank; Alex Sergeev; Jason Yosinski (NeurIPS, 2018)

Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae. - Piero Molino; Yang Wang; Jiawei Zhang 003 (ACL (3), 2019)

Modeling Multi-Action Policy for Task-Oriented Dialogues. - Lei Shu 004; Hu Xu 001; Bing Liu 001; Piero Molino (EMNLP/IJCNLP (1), 2019)

Commonsense and Semantic-Guided Navigation through Language in Embodied Environment. - Dian Yu 002; Chandra Khatri; Alexandros Papangelis; Andrea Madotto; Mahdi Namazifar; Joost Huizinga; Adrien Ecoffet; Huaixiu Zheng; Piero Molino; Jeff Clune; Zhou Yu 005; Kenji Sagae; et al. (ViGIL@NeurIPS, 2019)

Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning. - Alexandros Papangelis; Yi-Chia Wang; Piero Molino; Gökhan Tür (SIGdial, 2019)

Flexibly-Structured Model for Task-Oriented Dialogues. - Lei Shu 004; Piero Molino; Mahdi Namazifar; Hu Xu 001; Bing Liu 001; Huaixiu Zheng; Gökhan Tür (SIGdial, 2019)

Ludwig: a type-based declarative deep learning toolbox. - Piero Molino; Yaroslav Dudin; Sai Sumanth Miryala (CoRR, 2019)

Meta-Graph: Few shot Link Prediction via Meta Learning. - Avishek Joey Bose; Ankit Jain; Piero Molino; William L. Hamilton (CoRR, 2019)

Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models. - Jiawei Zhang 003; Yang Wang; Piero Molino; Lezhi Li; David S. Ebert (IEEE Trans. Vis. Comput. Graph., 2019)

Controllable Text Generation with Focused Variation. - Lei Shu 004; Alexandros Papangelis; Yi-Chia Wang; Gökhan Tür; Hu Xu 001; Zhaleh Feizollahi; Bing Liu 001; Piero Molino (EMNLP (Findings), 2020)

Joint Contextual Modeling for ASR Correction and Language Understanding. - Yue Weng; Sai Sumanth Miryala; Chandra Khatri; Runze Wang; Huaixiu Zheng; Piero Molino; Mahdi Namazifar; Alexandros Papangelis; Hugh Williams; Franziska Bell; Gökhan Tür (ICASSP, 2020)

Plug and Play Language Models: A Simple Approach to Controlled Text Generation. - Sumanth Dathathri; Andrea Madotto; Janice Lan; Jane Hung; Eric Frank; Piero Molino; Jason Yosinski; Rosanne Liu (ICLR, 2020)

Exploration Based Language Learning for Text-Based Games. - Andrea Madotto; Mahdi Namazifar; Joost Huizinga; Piero Molino; Adrien Ecoffet; Huaixiu Zheng; Alexandros Papangelis; Dian Yu 002; Chandra Khatri; Gökhan Tür (IJCAI, 2020)

Plato Dialogue System: A Flexible Conversational AI Research Platform. - Alexandros Papangelis; Mahdi Namazifar; Chandra Khatri; Yi-Chia Wang; Piero Molino; Gökhan Tür (CoRR, 2020)

Personalized Benchmarking with the Ludwig Benchmarking Toolkit. - Avanika Narayan; Piero Molino; Karan Goel; Willie Neiswanger; Christopher Ré (NeurIPS Datasets and Benchmarks, 2021)

Declarative Machine Learning Systems: The future of machine learning will depend on it being in the hands of the rest of us. - Piero Molino; Christopher Ré (ACM Queue, 2021)

Declarative machine learning systems. - Piero Molino; Christopher Ré (Commun. ACM, 2022)

Witgenstein's influence on artificial intelligence. - Piero Molino; Jacopo Tagliabue (CoRR, 2023)

Design for Emergency: How Digital Technologies Enabled an Open Design Platform to Respond to COVID-19. - Sara Colombo; Estefania Ciliotta; Lucia Marengo; Houjiang Liu; Piero Molino; Paolo Ciuccarelli (Interact. Comput., 2023)

LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report. - Justin Zhao; Timothy Wang; Wael Abid; Geoffrey Angus; Arnav Garg; Jeffery Kinnison; Alex Sherstinsky; Piero Molino; Travis Addair; Devvret Rishi (CoRR, 2024)