---
title: "Pengfei Liu — papers"
description: "Pengfei Liu: 14 papers in the Elamur Research library (2016–2026) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/pengfei-liu/"
---
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# Pengfei Liu

14 papers on this site (2016–2026)

[OpenAlex](https://openalex.org/A5100354997) · [ORCID](https://orcid.org/0000-0001-9030-1875) · h-index 15 · 60 works · 5555 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Test-Time Adaptation of an Offline Multimodal Foundation Model for Simultaneous Speech Translation](https://md.research.elamur.ai/free/en/papers/xing-2026-test-time-adaptation-offline-multimodal/) — Yi Xing, Manli Yu, Pengfei Liu, et al. · 2026
- [LIMO: Less is More for Reasoning](https://md.research.elamur.ai/free/en/papers/ye-2025-limo-less-more-reasoning/) — Yixin Ye, Zhen Huang, Yang Xiao, et al. · 2025
- [InFoBench: Evaluating Instruction Following Ability in Large Language Models](https://md.research.elamur.ai/free/en/papers/qin-2024-infobench-evaluating-instruction-following-ability/) — Yiwei Qin, Kaiqiang Song, Yebowen Hu, et al. · 2024
- [FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios](https://md.research.elamur.ai/free/en/papers/chern-2023-factool-factuality-detection-generative-ai/) — I-Chun Chern, Steffi Chern, Shiqi Chen, et al. · 2023
- [Generative Judge for Evaluating Alignment](https://md.research.elamur.ai/free/en/papers/li-2023-generative-judge-evaluating-alignment/) — Junlong Li, Shichao Sun, Weizhe Yuan, et al. · 2023
- [BRIO: Bringing Order to Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2022-brio-bringing-order-abstractive-summarization/) — Yixin Liu, Pengfei Liu, Dragomir Radev, et al. · 2022
- [Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation](https://md.research.elamur.ai/free/en/papers/liu-2022-revisiting-gold-standard-grounding-summarization/) — Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al. · 2022
- [BARTScore: Evaluating Generated Text as Text Generation](https://md.research.elamur.ai/free/en/papers/yuan-2021-bartscore-evaluating-generated-text-text/) — Weizhe Yuan, Graham Neubig, Pengfei Liu · 2021
- [GSum: A General Framework for Guided Neural Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/) — Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al. · 2021
- [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://md.research.elamur.ai/free/en/papers/liu-2021-pre-train-prompt-predict-systematic/) — Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al. · 2021
- [SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2021-simcls-simple-framework-contrastive-learning/) — Yixin Liu, Pengfei Liu · 2021
- [XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation](https://md.research.elamur.ai/free/en/papers/ruder-2021-xtreme-r-more-challenging-nuanced/) — Sebastian Ruder, Noah Constant, Jan Botha, et al. · 2021
- [Extractive Summarization as Text Matching](https://md.research.elamur.ai/free/en/papers/zhong-2020-extractive-summarization-as-text-matching/) — Ming Zhong, Pengfei Liu, Yiran Chen, et al. · 2020
- [Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network](https://md.research.elamur.ai/free/en/papers/chen-2016-implicit-discourse-relation-detection-deep/) — Jifan Chen, Qi Zhang, Pengfei Liu, et al. · 2016