Artidoro Pagnoni

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Single Document Summarization

Microsoft Business Intelligence

Machine Learning

Event Sequences

Top Venues

Publications

Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. CoRR (2024)
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer
QLoRA: Efficient Finetuning of Quantized LLMs. NeurIPS (2023)
Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. ACL (1) (2023)
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer
QLoRA: Efficient Finetuning of Quantized LLMs. CoRR (2023)
Artidoro Pagnoni, Martin Graciarena, Yulia Tsvetkov
Threat Scenarios and Best Practices to Detect Neural Fake News. COLING (2022)
Evangelia Spiliopoulou, Artidoro Pagnoni, Yonatan Bisk, Eduard H. Hovy
EvEntS ReaLM: Event Reasoning of Entity States via Language Models. CoRR (2022)
Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. CoRR (2022)
Evangelia Spiliopoulou, Artidoro Pagnoni, Yonatan Bisk, Eduard H. Hovy
EvEntS ReaLM: Event Reasoning of Entity States via Language Models. EMNLP (2022)
Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Modele. Proc. VLDB Endow. 15 (1) (2021)
Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. NAACL-HLT (2021)
Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. CoRR (2021)
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
StructSum: Summarization via Structured Representations. EACL (2021)
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR (2020)
Evangelia Spiliopoulou, Artidoro Pagnoni, Eduard H. Hovy
Definition Frames: Using Definitions for Hybrid Concept Representations. COLING (2020)
Thomas Lively, William Long, Artidoro Pagnoni
Analyzing Branch-and-Bound Algorithms for the Multiprocessor Scheduling Problem. CoRR (2019)
Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu
Machine Learning at Microsoft with ML.NET. KDD (2019)
Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupré, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu
Machine Learning at Microsoft with ML .NET. CoRR (2019)
Gyeong-In Yu, Saeed Amizadeh, Artidoro Pagnoni, Byung-Gon Chun, Markus Weimer, Matteo Interlandi
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach. CoRR (2019)
Artidoro Pagnoni, Kevin Liu, Shangyan Li
Conditional Variational Autoencoder for Neural Machine Translation. CoRR (2018)
Aron Szanto, Timothy Tamm, Artidoro Pagnoni
Taint Tracking for WebAssembly. CoRR (2018)
Artidoro Pagnoni, Stefan Gramatovici, Samuel Liu
PAC Learning Guarantees Under Covariate Shift. CoRR (2018)