Pengfei Liu12 papers on this site (2020–2025)LIMO: Less is More for ReasoningYixin Ye, Zhen Huang, Yang Xiao, et al.2025InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain ScenariosI-Chun Chern, Steffi Chern, Shiqi Chen, et al.2023Generative Judge for Evaluating AlignmentJunlong Li, Shichao Sun, Weizhe Yuan, et al.2023BRIO: Bringing Order to Abstractive SummarizationYixin Liu, Pengfei Liu, Dragomir Radev, et al.2022Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationYixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022BARTScore: Evaluating Generated Text as Text GenerationWeizhe Yuan, Graham Neubig, Pengfei Liu2021GSum: A General Framework for Guided Neural Abstractive SummarizationZi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.2021Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationYixin Liu, Pengfei Liu2021XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationSebastian Ruder, Noah Constant, Jan Botha, et al.2021Extractive Summarization as Text MatchingMing Zhong, Pengfei Liu, Yiran Chen, et al.2020