Liu, Pengfei

35 publications

AAAI 2025 Evaluating Mathematical Reasoning Beyond Accuracy Shijie Xia, Xuefeng Li, Yixin Liu, Tongshuang Wu, Pengfei Liu
NeurIPS 2025 LIMOPro: Reasoning Refinement for Efficient and Effective Test-Time Scaling Yang Xiao, Jessie Wang, Ruifeng Yuan, Chunpu Xu, Kaishuai Xu, Wenjie Li, Pengfei Liu
ICML 2025 OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Jin Xin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu
NeurIPS 2025 On Evaluating LLM Alignment by Evaluating LLMs as Judges Yixin Liu, Pengfei Liu, Arman Cohan
ICML 2025 Programming Every Example: Lifting Pre-Training Data Quality like Experts at Scale Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu
ICLR 2025 Progress or Regress? Self-Improvement Reversal in Post-Training Ting Wu, Xuefeng Li, Pengfei Liu
AAAI 2025 RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance Chengrui Wang, Pengfei Liu, Min Zhou, Ming Zeng, Xubin Li, Tiezheng Ge, Bo Zheng
ICLR 2025 Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model Wenhong Zhu, Zhiwei He, Xiaofeng Wang, Pengfei Liu, Rui Wang
NeurIPS 2024 Alignment for Honesty Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, Pengfei Liu
ICLR 2024 Generative Judge for Evaluating Alignment Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, Pengfei Liu
NeurIPS 2024 MathPile: A Billion-Token-Scale Pretraining Corpus for Math Zengzhi Wang, Xuefeng Li, Rui Xia, Pengfei Liu
NeurIPS 2024 OlympicArena: Benchmarking Multi-Discipline Cognitive Reasoning for Superintelligent AI Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu
ICMLW 2024 Progress or Regress? Self-Improvement Reversal in Post-Training Ting Wu, Xuefeng Li, Pengfei Liu
NeurIPS 2024 RAGChecker: A Fine-Grained Framework for Diagnosing Retrieval-Augmented Generation Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang
NeurIPSW 2024 Synthesizing Verified Mathematical Problems Xuefeng Li, Yanheng He, Pengfei Liu
NeurIPS 2023 FELM: Benchmarking Factuality Evaluation of Large Language Models Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He
NeurIPS 2023 LIMA: Less Is More for Alignment Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
ICML 2023 PAL: Program-Aided Language Models Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig
JAIR 2022 Can We Automate Scientific Reviewing? Weizhe Yuan, Pengfei Liu, Graham Neubig
IJCAI 2022 I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation Yiwei Ding, Wenjin Deng, Yinglin Zheng, Pengfei Liu, Meihong Wang, Xuan Cheng, Jianmin Bao, Dong Chen, Ming Zeng
AAAI 2022 KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-Training Weizhe Yuan, Pengfei Liu
NeurIPS 2021 BARTScore: Evaluating Generated Text as Text Generation Weizhe Yuan, Graham Neubig, Pengfei Liu
AAAI 2020 Learning Sparse Sharing Architectures for Multiple Tasks Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang
AAAI 2020 Multi-Scale Self-Attention for Text Classification Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
ECCV 2020 RTM3D: Real-Time Monocular 3D Detection from Object Keypoints for Autonomous Driving Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao
AAAI 2020 Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study Jinlan Fu, Pengfei Liu, Qi Zhang
AAAI 2020 Zero-Shot Text-to-SQL Learning with Auxiliary Task Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou
AAAI 2019 Contextualized Non-Local Neural Networks for Sequence Learning Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung
AAAI 2019 Learning Multi-Task Communication with Message Passing for Sequence Learning Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung
AAAI 2018 Meta Multi-Task Learning for Sequence Modeling Jun-Kun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang
IJCAI 2017 Adaptive Semantic Compositionality for Sentence Modelling Pengfei Liu, Xipeng Qiu, Xuanjing Huang
IJCAI 2017 Dynamic Compositional Neural Networks over Tree Structure Pengfei Liu, Xipeng Qiu, Xuanjing Huang
AAAI 2016 Discourse Relations Detection via a Mixed Generative-Discriminative Framework Jifan Chen, Qi Zhang, Pengfei Liu, Xuanjing Huang
IJCAI 2016 Recurrent Neural Network for Text Classification with Multi-Task Learning Pengfei Liu, Xipeng Qiu, Xuanjing Huang
IJCAI 2015 Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model Pengfei Liu, Xipeng Qiu, Xuanjing Huang