Liu, Peter J.
Google (United States)
9 papers on CoChat
Most cited papers
- Verified
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., & Liu, P. J. (2019) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 10,929
- Verified
Get To The Point: Summarization with Pointer-Generator Networks
See, A., Liu, P. J., & Manning, C. D. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 3,775
- Verified
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Zhang, J., Zhao, Y., Saleh, M., & Liu, P. J. (2019) · arXiv
Topic ModelingAdvanced Text Analysis Techniques
Cited by 1,206
- Verified
Assessing The Factual Accuracy of Generated Text
Goodrich, B., Rao, V., Liu, P. J., & Saleh, M. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Topic ModelingNatural Language Processing Techniques
Cited by 162
- Verified
Calibrating Sequence likelihood Improves Conditional Language Generation
Zhao, Y., Khalman, M., Joshi, R., Narayan, S., Saleh, M., & Liu, P. J. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 42
- Verified
SLiC-HF: Sequence Likelihood Calibration with Human Feedback
Zhao, Y., Joshi, R., Liu, T., Khalman, M., Saleh, M., & Liu, P. J. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 11
- Verified
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Singh, A., Co-Reyes, J. D., Agarwal, R., Anand, A., Patil, P., Garcia, X., Liu, P. J., Harrison, J., Lee, J., Xu, K., et al. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 10
- Verified
Small-scale proxies for large-scale Transformer training instabilities
Wortsman, M., Liu, P. J., Xiao, L., Everett, K., Alemi, A., Adlam, B., Co-Reyes, J. D., Gur, I., Kumar, A., Novak, R., et al. (2023) · arXiv
Stochastic Gradient Optimization TechniquesTopic Modeling
Cited by 5
- Verified
Self-Evaluation Improves Selective Generation in Large Language Models
Ren, J., Zhao, Y., Vu, T., Liu, P. J., & Lakshminarayanan, B. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 5
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