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Peter Liu

5 papers · 2017–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird
πŸ“ˆ Trend Setter

Venues

EMNLP (3) ICML (2)

Top co-authors

Yao Zhao (3) Mohammad Saleh (2) Prajit Ramachandran (1) Jiaming Luo (1) Quoc Le (1) Eric Chu (1) Balaji Lakshminarayanan (1) Jason Phang (1) Jie Ren (1) Jingqing Zhang (1)

Research topics

Machine Learning (5) Learning Types Β· Machine Learning (5) Natural Language Processing (3) Generation (3) Deep Learning (2) Artificial Intelligence (1) Application Areas (1) Applications (1) Architectures (1) Core AI (1) Core Methods (1) Learning Types Β· Deep Learning (1) Techniques (1)

Keywords

abstractive summarization (4) transformer architecture (1) unsupervised pretraining (1) model robustness (1) self-supervised learning (1) machine translation (1) text summarization (1) distribution shift (1) model inference (1) language model (1) long sequence modeling (1) sequence processing (1) sequence to sequence (1) neural model (1) input noise (1) long sequence (1) transformer model (1) pre-training paradigm (1) block-local transformer (1) input noise detection (1)

Papers

Improving the Robustness of Summarization Models by Detecting and Removing Input Noise EMNLP 2023 Investigating Efficiently Extending Transformers for Long Input Summarization EMNLP 2023 PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization ICML 2020 MeanSum: A Neural Model for Unsupervised Multi-Document Abstractive Summarization ICML 2019 Unsupervised Pretraining for Sequence to Sequence Learning EMNLP 2017