Yang Liu

Affiliations:
  • Microsoft Cognitive Services Research, Redmond, WA, USA
  • University of Edinburgh, Institute for Language, Cognition and Computation, Edinburgh, UK (Phd 2020)
  • Peking University, Key Laboratory of Computational Linguistics, Beijing, China (2013 - 2016)


According to our database1, Yang Liu authored at least 53 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

How Does In-Context Learning Help Prompt Tuning?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents.
CoRR, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.
CoRR, 2023

Small Models are Valuable Plug-ins for Large Language Models.
CoRR, 2023

G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.
CoRR, 2023

InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LMGQS: A Large-scale Dataset for Query-focused Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Unifying Vision, Text, and Layout for Universal Document Processing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Attend to the Right Context: A Plug-and-Play Module for Content-Controllable Summarization.
CoRR, 2022

UniSumm: Unified Few-shot Summarization with Multi-Task Pre-Training and Prefix-Tuning.
CoRR, 2022

MACSum: Controllable Summarization with Mixed Attributes.
CoRR, 2022

Towards a Unified Multi-Dimensional Evaluator for Text Generation.
CoRR, 2022

Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization.
CoRR, 2022

DialogSum Challenge: Results of the Dialogue Summarization Shared Task.
CoRR, 2022

Unsupervised Summarization with Customized Granularities.
CoRR, 2022

Unsupervised Multi-Granularity Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Task Compass: Scaling Multi-task Pre-training with Task Prefix.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

AdaPrompt: Adaptive Model Training for Prompt-based NLP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

End-to-End Segmentation-based News Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
DialogSumm: A Real-Life Scenario Dialogue Summarization Dataset.
CoRR, 2021

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DialogSum Challenge: Summarizing Real-Life Scenario Dialogues.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

Want To Reduce Labeling Cost? GPT-3 Can Help.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Fusing Context Into Knowledge Graph for Commonsense Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Retrieval Enhanced Model for Commonsense Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Fusing Context Into Knowledge Graph for Commonsense Reasoning.
CoRR, 2020

2019
Fine-tune BERT for Extractive Summarization.
CoRR, 2019

Single Document Summarization as Tree Induction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Text Summarization with Pretrained Encoders.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating Summaries with Topic Templates and Structured Convolutional Decoders.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Hierarchical Transformers for Multi-Document Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Dependency Grammar Induction with a Neural Variational Transition-Based Parser.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning Structured Text Representations.
Trans. Assoc. Comput. Linguistics, 2018

Structured Alignment Networks for Matching Sentences.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Twitter summarization with social-temporal context.
World Wide Web, 2017

Learning Contextually Informed Representations for Linear-Time Discourse Parsing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Relation Classification Via Modeling Augmented Dependency Paths.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

A User Adaptive Model for Followee Recommendation on Twitter.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Implicit Discourse Relation Classification via Multi-Task Neural Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Neural Network Based Translation Constrained Reranking Model for Chinese Dependency Parsing.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015

A Dependency-Based Neural Network for Relation Classification.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

A Novel Neural Topic Model and Its Supervised Extension.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015


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