Pengfei Liu — all works
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
- BARTScore: Evaluating Generated Text as Text GenerationarXiv:2106.11520Weizhe Yuan, Graham Neubig, Pengfei Liu2021 · 815 citations
- Adversarial Multi-task Learning for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Pengfei Liu, Xipeng Qiu, Xuanjing Huang2017 · 729 citations
- Fine-grained Opinion Mining with Recurrent Neural Networks and Word EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Pengfei Liu, Shafiq Joty, Helen Meng2015 · 593 citations
- Extractive Summarization as Text MatchingAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhong, Pengfei Liu, Yiran Chen, et al.2020 · 570 citations
- Heterogeneous Graph Neural Networks for Extractive Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Danqing Wang, Pengfei Liu, Yining Zheng, et al.2020 · 370 citations
- BRIO: Bringing Order to Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu, Dragomir Radev, et al.2022 · 360 citations
- SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu2021 · 341 citations
- Long Short-Term Memory Neural Networks for Chinese Word SegmentationConference on Empirical Methods in Natural Language Processing (EMNLP)Xinchi Chen, Xipeng Qiu, Chenxi Zhu, et al.2015 · 336 citations
- GSum: A General Framework for Guided Neural Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.2021 · 322 citations
- XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Ruder, Noah Constant, Jan Botha, et al.2021 · 281 citations
- Re-evaluating Evaluation in Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 259 citations
- Searching for Effective Neural Extractive Summarization: What Works and What's NextAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhong, Pengfei Liu, Danqing Wang, et al.2019 · 225 citations
- LIMO: Less is More for ReasoningarXiv:2502.03387Yixin Ye, Zhen Huang, Yang Xiao, et al.2025 · 209 citations
- Towards a Unified Multi-Dimensional Evaluator for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Ming Zhong, Yang Liu, Da Yin, et al.2022 · 208 citations
- Star-Transformer ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetQipeng Guo et al.2019 · 206 citations
- Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents ↗Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yetPengfei Liu et al.2015 · 197 citations
- Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetJunqi Dai et al.2021 · 196 citations
- FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain ScenariosarXiv:2307.13528I-Chun Chern, Steffi Chern, Shiqi Chen, et al.2023 · 160 citations
- InFoBench: Evaluating Instruction Following Ability in Large Language ModelsFindings of the Association for Computational LinguisticsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 136 citations
- Generative Judge for Evaluating AlignmentarXiv:2310.05470Junlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 125 citations
- Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationarXiv:2212.07981Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 117 citations
- Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Jifan Chen, Qi Zhang, Pengfei Liu, et al.2016 · 115 citations
- DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world EnvironmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, et al.2025 · 113 citations
- On Learning to Summarize with Large Language Models as ReferencesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
- Evaluating Mathematical Reasoning Beyond AccuracyProceedings of the AAAI Conference on Artificial IntelligenceShijie Xia, Xuefeng Li, Yixin Liu, et al.2024 · 85 citations
- Deep Fusion LSTMs for Text Semantic Matching ↗Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPengfei Liu et al.2016 · 77 citations
- Interpretable Multi-dataset Evaluation for Named Entity Recognition ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetJinlan Fu, Pengfei Liu, Graham Neubig2020 · 71 citations
- Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYixin Liu et al.2023 · 60 citations
- Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization ↗arXiv:2311.09184 · no summary yetYixin Liu et al.2023 · 59 citations
- Deep Multi-Task Learning with Shared Memory for Text Classification ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetPengfei Liu, Xipeng Qiu, Xuanjing Huang2016 · 59 citations
- Towards More Fine-grained and Reliable NLP Performance Prediction ↗Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yetZihuiwen Ye et al.2021 · 46 citations
- Let's reward step by step: Step-Level reward model as the Navigators for Reasoning ↗arXiv:2310.10080 · no summary yetQianli Ma et al.2023 · 40 citations
- CitationIE: Leveraging the Citation Graph for Scientific Information Extraction ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetVijay Viswanathan, Graham Neubig, Pengfei Liu2021 · 26 citations
- Progress or Regress? Self-Improvement Reversal in Post-trainingarXiv:2407.05013Ting Wu, Xuefeng Li, Pengfei Liu2024 · 10 citations
- Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human StatesAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xiao, Jiashuo Wang, Qiancheng Xu, et al.2025 · 8 citations
- Halu-J: Critique-Based Hallucination JudgearXiv:2407.12943Binjie Wang, Steffi Chern, Ethan Chern, et al.2024 · 8 citations
- DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language ModelsFindings of the Association for Computational LinguisticsYakun Zhu, Zhongzhen Huang, Linjie Mu, et al.2026 · 7 citations
- SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMsFindings of the Association for Computational LinguisticsJie Sun, Yu Liu, Lu Han, et al.2026 · 1 citation
- Test-Time Adaptation of an Offline Multimodal Foundation Model for Simultaneous Speech TranslationInternational Conference on Spoken Language Translation (IWSLT)Yi Xing, Manli Yu, Pengfei Liu, et al.2026 · 1 citation
- SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
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