Articles by Peter J. Liu | Synthical

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Peter J. Liu

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28

Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability

14 August 2024 by Jiri Hron and others at

Computation and Language, Artificial Intelligence

Scaling Exponents Across Parameterizations and Optimizers

16 July 2024 by Katie Everett and others at

Machine Learning

LiPO: Listwise Preference Optimization through Learning-to-Rank

1

2 February 2024 by Tianqi Liu and others at

Computation and Language, Machine Learning

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

22 December 2023 by Avi Singh and others at

Machine Learning

Self-Evaluation Improves Selective Generation in Large Language Models

14 December 2023 by Jie Ren and others

Computation and Language, Artificial Intelligence

Improving the Robustness of Summarization Models by Detecting and Removing Input Noise

4 December 2023 by Kundan Krishna and others

Computation and Language, Machine Learning

Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?

15 November 2023 by C. Daniel Freeman and others at

Computation and Language, Artificial Intelligence

Small-scale proxies for large-scale Transformer training instabilities

16 October 2023 by Mitchell Wortsman and others

Machine Learning

Improving Large Language Model Fine-tuning for Solving Math Problems

16 October 2023 by Yixin Liu and others at

Computation and Language

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

19 September 2023 by Colin Raffel and others at

Machine Learning, Computation and Language

Statistical Rejection Sampling Improves Preference Optimization

13 September 2023 by Tianqi Liu and others

Computation and Language

SLiC-HF: Sequence Likelihood Calibration with Human Feedback

17 May 2023 by Yao Zhao and others

Computation and Language, Artificial Intelligence

Out-of-Distribution Detection and Selective Generation for Conditional Language Models

7 March 2023 by Jie Ren and others

Computation and Language

Calibrating Sequence likelihood Improves Conditional Language Generation

30 September 2022 by Yao Zhao and others

Computation and Language

Investigating Efficiently Extending Transformers for Long Input Summarization

8 August 2022 by Jason Phang and others

Computation and Language

SMART: Sentences as Basic Units for Text Evaluation

1 August 2022 by Reinald Kim Amplayo and others

Computation and Language

Assessing The Factual Accuracy of Generated Text

25 May 2021 by Ben Goodrich and others

Computation and Language

SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization

18 June 2020 by Yao Zhao and others

Computation and Language, Information Retrieval

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

2 June 2020 by Jingqing Zhang and others

Computation and Language

Likelihood Ratios for Out-of-Distribution Detection

5 December 2019 by Jie Ren and others

Machine Learning

SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders

2 October 2019 by Peter Liu and others

Computation and Language, Machine Learning

Using Ontologies To Improve Performance In Massively Multi-label Prediction Models

28 May 2019 by Ethan Steinberg and Peter Liu

Machine Learning, Artificial Intelligence

MeanSum: A Model for Unsupervised Neural Multi-document Abstractive Summarization

26 January 2019 by Eric Chu and Peter Liu

Computation and Language

Learning to Write Notes in Electronic Health Records

8 August 2018 by Peter Liu

Computation and Language

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs

27 April 2018 by W. James Murdoch and others

Computation and Language, Machine Learning

Unsupervised Pretraining for Sequence to Sequence Learning

22 February 2018 by Prajit Ramachandran and others

Computation and Language, Machine Learning

Generating Wikipedia by Summarizing Long Sequences

30 January 2018 by Peter Liu and others

Computation and Language

Scalable and accurate deep learning for electronic health records

26 January 2018 by Alvin Rajkomar and others

Computers and Society, Machine Learning

Online and Linear-Time Attention by Enforcing Monotonic Alignments

29 June 2017 by Colin Raffel and others

Machine Learning, Computation and Language

Get To The Point: Summarization with Pointer-Generator Networks

25 April 2017 by Abigail See and others

Computation and Language

This is an AI-generated summary

Key points

Topics

Computation and Language Machine Learning Artificial Intelligence Computers and Society Neural and Evolutionary Computing Information Retrieval