Peter J. Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | LiPO: Listwise Preference Optimization through Learning-to-Rank. | Tianqi Liu, Zhen Qin, Junru Wu, Jiaming Shen, Misha Khalman, Rishabh Joshi, Yao Zhao, Mohammad Saleh, Simon Baumgartner, Jialu Liu, Peter J. Liu, Xuanhui Wang |
| 2024 | ICLR | Statistical Rejection Sampling Improves Preference Optimization. | Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J. Liu, Jialu Liu |
| 2024 | ICLR | Small-scale proxies for large-scale Transformer training instabilities. | Mitchell Wortsman, Peter J. Liu, Lechao Xiao, Katie E. Everett, Alexander A. Alemi, Ben Adlam, John D. Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith |
| 2024 | ICML | Scaling Exponents Across Parameterizations and Optimizers. | Katie E. Everett, Lechao Xiao, Mitchell Wortsman, Alexander A. Alemi, Roman Novak, Peter J. Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington |
| 2023 | EMNLP | Improving the Robustness of Summarization Models by Detecting and Removing Input Noise. | Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu |
| 2023 | EMNLP | Investigating Efficiently Extending Transformers for Long Input Summarization. | Jason Phang, Yao Zhao, Peter J. Liu |
| 2023 | ICLR | Out-of-Distribution Detection and Selective Generation for Conditional Language Models. | Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu |
| 2023 | ICLR | SMART: Sentences as Basic Units for Text Evaluation. | Reinald Kim Amplayo, Peter J. Liu, Yao Zhao, Shashi Narayan |
| 2023 | ICLR | Calibrating Sequence likelihood Improves Conditional Language Generation. | Yao Zhao, Misha Khalman, Rishabh Joshi, Shashi Narayan, Mohammad Saleh, Peter J. Liu |
| 2020 | ICML | PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization. | Jingqing Zhang, Yao Zhao, Mohammad Saleh, Peter J. Liu |
| 2019 | ICML | MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization. | Eric Chu, Peter J. Liu |
| 2019 | KDD | Assessing The Factual Accuracy of Generated Text. | Ben Goodrich, Vinay Rao, Peter J. Liu, Mohammad Saleh |
| 2018 | ICLR | Generating Wikipedia by Summarizing Long Sequences. | Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer |
| 2018 | ICLR | Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs. | W. James Murdoch, Peter J. Liu, Bin Yu |
| 2017 | ACL | Get To The Point: Summarization with Pointer-Generator Networks. | Abigail See, Peter J. Liu, Christopher D. Manning |
| 2017 | EMNLP | Unsupervised Pretraining for Sequence to Sequence Learning. | Prajit Ramachandran, Peter J. Liu, Quoc V. Le |
| 2017 | ICML | Online and Linear-Time Attention by Enforcing Monotonic Alignments. | Colin Raffel, Minh-Thang Luong, Peter J. Liu, Ron J. Weiss, Douglas Eck |