| QLoRA: Efficient Finetuning of Quantized LLMs T Dettmers*, A Pagnoni*, A Holtzman, L Zettlemoyer Advances in Neural Information Processing Systems, 2024, 2023 | 2243 | 2023 |
| Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics A Pagnoni, V Balachandran, Y Tsvetkov Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 298 | 2021 |
| Machine learning at Microsoft with ML. NET Z Ahmed, S Amizadeh, M Bilenko, R Carr, WS Chin, Y Dekel, X Dupre, ... Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 85 | 2019 |
| Conditional variational autoencoder for neural machine translation A Pagnoni, K Liu, S Li arXiv preprint arXiv:1812.04405, 2018 | 70 | 2018 |
| Taint tracking for webassembly A Szanto, T Tamm, A Pagnoni arXiv preprint arXiv:1807.08349, 2018 | 35 | 2018 |
| StructSum: Summarization via structured representations V Balachandran, A Pagnoni, JY Lee, D Rajagopal, J Carbonell, ... EACL 2021, 2020 | 32* | 2020 |
| Threat Scenarios and Best Practices for Neural Fake News Detection A Pagnoni, M Graciarena, Y Tsvetkov Proceedings of the 29th International Conference on Computational …, 2022 | 29* | 2022 |
| WindTunnel: towards differentiable ML pipelines beyond a single model GI Yu, S Amizadeh, S Kim, A Pagnoni, C Zhang, BG Chun, M Weimer, ... Proceedings of the VLDB Endowment 15 (1), 11-20, 2021 | 17* | 2021 |
| Socratic pretraining: Question-driven pretraining for controllable summarization A Pagnoni, AR Fabbri, W Kryściński, CS Wu arXiv preprint arXiv:2212.10449, 2022 | 14 | 2022 |
| EvEntS ReaLM: Event Reasoning of Entity States via Language Models E Spiliopoulou*, A Pagnoni*, Y Bisk, E Hovy arXiv preprint arXiv:2211.05392, 2022 | 11 | 2022 |
| Pac learning guarantees under covariate shift A Pagnoni, S Gramatovici, S Liu arXiv preprint arXiv:1812.06393, 2018 | 6 | 2018 |
| Predicting vs. acting: A trade-off between world modeling & agent modeling M Li, W Shi, A Pagnoni, P West, A Holtzman arXiv preprint arXiv:2407.02446, 2024 | 4 | 2024 |
| Byte Latent Transformer: Patches Scale Better Than Tokens A Pagnoni, R Pasunuru, P Rodriguez, J Nguyen, B Muller, M Li, C Zhou, ... arXiv preprint arXiv:2412.09871, 2024 | 3 | 2024 |
| Definition Frames: Using Definitions for Hybrid Concept Representations E Spiliopoulou, A Pagnoni, E Hovy Proceedings of the 28th International Conference on Computational …, 2020 | 3 | 2020 |
| Analyzing Branch-and-Bound Algorithms for the Multiprocessor Scheduling Problem T Lively, W Long, A Pagnoni arXiv preprint arXiv:1901.07070, 2019 | 2 | 2019 |
| Systems and methods for question-driven pretraining for controllable summarization A Pagnoni, A Fabbri, W Kryscinski US Patent App. 18/299,503, 2024 | | 2024 |
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
