Artidoro Pagnoni

23 papers A* 3A 1B 2Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Byte Latent Transformer: Patches Scale Better Than Tokens. ACL (1) Artidoro Pagnoni, Ramakanth Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason E. Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srini Iyer
2024	J	`jnl`	Byte Latent Transformer: Patches Scale Better Than Tokens. CoRR Artidoro Pagnoni, Ram Pasunuru, Pedro Rodríguez, John Nguyen, Benjamin Muller, Margaret Li, Chunting Zhou, Lili Yu, Jason Weston, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Ari Holtzman, Srinivasan Iyer
2024	J	`jnl`	Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. CoRR Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman
2023	A*	`conf`	QLoRA: Efficient Finetuning of Quantized LLMs. NeurIPS Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer
2023	J	`jnl`	QLoRA: Efficient Finetuning of Quantized LLMs. CoRR Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, Luke Zettlemoyer
2023	—	`conf`	Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. ACL (1) Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu
2022	A*	`conf`	EvEntS ReaLM: Event Reasoning of Entity States via Language Models. EMNLP Evangelia Spiliopoulou, Artidoro Pagnoni, Yonatan Bisk, Eduard H. Hovy
2022	J	`jnl`	EvEntS ReaLM: Event Reasoning of Entity States via Language Models. CoRR Evangelia Spiliopoulou, Artidoro Pagnoni, Yonatan Bisk, Eduard H. Hovy
2022	J	`jnl`	Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization. CoRR Artidoro Pagnoni, Alexander R. Fabbri, Wojciech Kryscinski, Chien-Sheng Wu
2022	B	`conf`	Threat Scenarios and Best Practices to Detect Neural Fake News. COLING Artidoro Pagnoni, Martin Graciarena, Yulia Tsvetkov
2021	A	`conf`	StructSum: Summarization via Structured Representations. EACL Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2021	—	`conf`	Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. NAACL-HLT Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
2021	J	`jnl`	Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. CoRR Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov
2021	J	`jnl`	WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Modele. Proc. VLDB Endow. Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi
2020	B	`conf`	Definition Frames: Using Definitions for Hybrid Concept Representations. COLING Evangelia Spiliopoulou, Artidoro Pagnoni, Eduard H. Hovy
2020	J	`jnl`	StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. CoRR Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov
2019	J	`jnl`	Analyzing Branch-and-Bound Algorithms for the Multiprocessor Scheduling Problem. CoRR Thomas Lively, William Long, Artidoro Pagnoni
2019	J	`jnl`	Machine Learning at Microsoft with ML .NET. CoRR 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
2019	A*	`conf`	Machine Learning at Microsoft with ML.NET. KDD 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
2019	J	`jnl`	Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach. CoRR Gyeong-In Yu, Saeed Amizadeh, Artidoro Pagnoni, Byung-Gon Chun, Markus Weimer, Matteo Interlandi
2018	J	`jnl`	Conditional Variational Autoencoder for Neural Machine Translation. CoRR Artidoro Pagnoni, Kevin Liu, Shangyan Li
2018	J	`jnl`	PAC Learning Guarantees Under Covariate Shift. CoRR Artidoro Pagnoni, Stefan Gramatovici, Samuel Liu
2018	J	`jnl`	Taint Tracking for WebAssembly. CoRR Aron Szanto, Timothy Tamm, Artidoro Pagnoni