Pengfei Liu

According to our database, Pengfei Liu authored at least 80 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLMCRIT: Teaching Large Language Models to Use Criteria.

Weizhe Yuan, Pengfei Liu, Matthias Gallé

CoRR, 2024

Reformatted Alignment.

Run-Ze Fan, Xuefeng Li, Haoyang Zou, Junlong Li, Shwai He, Ethan Chern, Jiewen Hu, Pengfei Liu

CoRR, 2024

Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate.

Steffi Chern, Ethan Chern, Graham Neubig, Pengfei Liu

CoRR, 2024

The Critique of Critique.

Shichao Sun, Junlong Li, Weizhe Yuan, Ruifeng Yuan, Wenjie Li, Pengfei Liu

CoRR, 2024

InFoBench: Evaluating Instruction Following Ability in Large Language Models.

Yiwei Qin, Kaiqiang Song, Yebowen Hu, Wenlin Yao, Sangwoo Cho, Xiaoyang Wang, Xuansheng Wu, Fei Liu, Pengfei Liu, Dong Yu

CoRR, 2024

2023

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig

ACM Comput. Surv., 2023

Align on the Fly: Adapting Chatbot Behavior to Established Norms.

Chunpu Xu, Steffi Chern, Ethan Chern, Ge Zhang, Zekun Wang, Ruibo Liu, Jing Li, Jie Fu, Pengfei Liu

CoRR, 2023

Alignment for Honesty.

Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, Pengfei Liu

CoRR, 2023

Generative Judge for Evaluating Alignment.

Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu

CoRR, 2023

FacTool: Factuality Detection in Generative AI - A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

I-Chun Chern, Steffi Chern, Shiqi Chen, Weizhe Yuan, Kehua Feng, Chunting Zhou, Junxian He, Graham Neubig, Pengfei Liu

CoRR, 2023

Improving Factuality of Abstractive Summarization via Contrastive Reward Learning.

I-Chun Chern, Zhiruo Wang, Sanjan Das, Bhavuk Sharma, Pengfei Liu, Graham Neubig

CoRR, 2023

GlobalBench: A Benchmark for Global Progress in Natural Language Processing.

Yueqi Song, Catherine Cui, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig

CoRR, 2023

GPTScore: Evaluate as You Desire.

Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu

CoRR, 2023

FELM: Benchmarking Factuality Evaluation of Large Language Models.

Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PAL: Program-aided Language Models.

Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig

Proceedings of the International Conference on Machine Learning, 2023

GlobalBench: A Benchmark for Global Progress in Natural Language Processing.

Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics.

Yiwei Qin, Weizhe Yuan, Graham Neubig, Pengfei Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning.

Sameer Jain, Vaishakh Keshava, Swarnashree Mysore Sathyendra, Patrick Fernandes, Pengfei Liu, Graham Neubig, Chunting Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions.

Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Can We Automate Scientific Reviewing?

Weizhe Yuan, Pengfei Liu, Graham Neubig

J. Artif. Intell. Res., 2022

Searching for Effective Multilingual Fine-Tuning Methods: A Case Study in Summarization.

Yiwei Qin, Graham Neubig, Pengfei Liu

CoRR, 2022

reStructured Pre-training.

Weizhe Yuan, Pengfei Liu

CoRR, 2022

Polyglot Prompt: Multilingual Multitask PrompTraining.

Jinlan Fu, See-Kiong Ng, Pengfei Liu

CoRR, 2022

Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification.

Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models.

Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Polyglot Prompt: Multilingual Multitask Prompt Training.

Jinlan Fu, See-Kiong Ng, Pengfei Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DataLab: A Platform for Data Analysis and Intervention.

Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

BRIO: Bringing Order to Abstractive Summarization.

Yixin Liu, Pengfei Liu, Dragomir R. Radev, Graham Neubig

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training.

Weizhe Yuan, Pengfei Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.

Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson

CoRR, 2021

BARTScore: Evaluating Generated Text as Text Generation.

Weizhe Yuan, Graham Neubig, Pengfei Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RefSum: Refactoring Neural Summarization.

Yixin Liu, Zi-Yi Dou, Pengfei Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Larger-Context Tagging: When and Why Does It Work?

Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

GSum: A General Framework for Guided Neural Abstractive Summarization.

Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa.

Junqi Dai, Hang Yan, Tianxiang Sun, Pengfei Liu, Xipeng Qiu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.

Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization.

Yiran Chen, Pengfei Liu, Xipeng Qiu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Towards More Fine-grained and Reliable NLP Performance Prediction.

Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

CitationIE: Leveraging the Citation Graph for Scientific Information Extraction.

Vijay Viswanathan, Graham Neubig, Pengfei Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ExplainaBoard: An Explainable Leaderboard for NLP.

Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization.

Yixin Liu, Pengfei Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

SpanNER: Named Entity Re-/Recognition as Span Prediction.

Jinlan Fu, Xuanjing Huang, Pengfei Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.

Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang

CoRR, 2020

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study.

Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang

CoRR, 2020

RethinkCWS: Is Chinese Word Segmentation a Solved Task?

Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Interpretable Multi-dataset Evaluation for Named Entity Recognition.

Jinlan Fu, Pengfei Liu, Graham Neubig

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.

Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Re-evaluating Evaluation in Text Summarization.

Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, Pengfei Liu, Graham Neubig

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Extractive Summarization as Text Matching.

Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Heterogeneous Graph Neural Networks for Extractive Document Summarization.

Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu, Xuanjing Huang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Sparse Sharing Architectures for Multiple Tasks.

Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Scale Self-Attention for Text Classification.

Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study.

Jinlan Fu, Pengfei Liu, Qi Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Closer Look at Data Bias in Neural Extractive Summarization Models.

Ming Zhong, Danqing Wang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang

CoRR, 2019

Exploring Domain Shift in Extractive Text Summarization.

Danqing Wang, Pengfei Liu, Ming Zhong, Jie Fu, Xipeng Qiu, Xuanjing Huang

CoRR, 2019

DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks.

Zehui Lin, Pengfei Liu, Luyao Huang, Junkun Chen, Xipeng Qiu, Xuanjing Huang

CoRR, 2019

Star-Transformer.

Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Searching for Effective Neural Extractive Summarization: What Works and What's Next.

Ming Zhong, Pengfei Liu, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

TIGS: An Inference Algorithm for Text Infilling with Gradient Search.

Dayiheng Liu, Jie Fu, Pengfei Liu, Jiancheng Lv

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Multi-Task Communication with Message Passing for Sequence Learning.

Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Contextualized Non-Local Neural Networks for Sequence Learning.

Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-task Learning over Graph Structures.

Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung

CoRR, 2018

Meta-Learning Multi-task Communication.

Pengfei Liu, Xuanjing Huang

CoRR, 2018

Meta Multi-Task Learning for Sequence Modeling.

Junkun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Adaptive Semantic Compositionality for Sentence Modelling.

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Dynamic Compositional Neural Networks over Tree Structure.

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Idiom-Aware Compositional Distributed Semantics.

Pengfei Liu, Kaiyu Qian, Xipeng Qiu, Xuanjing Huang

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Adversarial Multi-task Learning for Text Classification.

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Deep Multi-Task Learning with Shared Memory.

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

CoRR, 2016

Syntax-based Attention Model for Natural Language Inference.

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

CoRR, 2016

Modelling Interaction of Sentence Pair with coupled-LSTMs.

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

CoRR, 2016

Recurrent Neural Network for Text Classification with Multi-Task Learning.

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Modelling Interaction of Sentence Pair with Coupled-LSTMs.

Pengfei Liu, Xipeng Qiu, Yaqian Zhou, Jifan Chen, Xuanjing Huang

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Multi-Task Learning with Shared Memory for Text Classification.

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Fusion LSTMs for Text Semantic Matching.

Pengfei Liu, Xipeng Qiu, Jifan Chen, Xuanjing Huang

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network.

Jifan Chen, Qi Zhang, Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Discourse Relations Detection via a Mixed Generative-Discriminative Framework.

Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model.

Pengfei Liu, Xipeng Qiu, Xuanjing Huang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents.

Pengfei Liu, Xipeng Qiu, Xinchi Chen, Shiyu Wu, Xuanjing Huang

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Long Short-Term Memory Neural Networks for Chinese Word Segmentation.

Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Pengfei Liu, Xuanjing Huang

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015