Qiu, Xipeng

60 publications

ICLR 2025 BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments Xinghao Wang, Pengyu Wang, Bo Wang, Dong Zhang, Yunhua Zhou, Xipeng Qiu
ICLR 2025 CHiP: Cross-Modal Hierarchical Direct Preference Optimization for Multimodal LLMs Jinlan Fu, Huangfushenzhen, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng
ICLR 2025 Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance Jiasheng Ye, Peiju Liu, Tianxiang Sun, Jun Zhan, Yunhua Zhou, Xipeng Qiu
ICLRW 2025 DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels Zhe Xu, Jiasheng Ye, Xiaoran Liu, Xiangyang Liu, Tianxiang Sun, Zhigeng Liu, Qipeng Guo, Linlin Li, Qun Liu, Xuanjing Huang, Xipeng Qiu
ICML 2025 Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture Without Training Mozhi Zhang, Howe Tissue, Lu Wang, Xipeng Qiu
NeurIPS 2025 ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection Zhihao Sun, Haoran Jiang, Haoran Chen, Yixin Cao, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
ICLRW 2025 How to Mitigate Overfitting in Weak-to-Strong Generalization? Junhao Shi, Qingyuan Chen, Zhaoye Fei, Yining Zheng, Qipeng Guo, Xuanjing Huang, Xipeng Qiu
NeurIPS 2025 INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning Wujian Peng, Lingchen Meng, Yitong Chen, Yiweng Xie, Yang Liu, Tao Gui, Hang Xu, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang
NeurIPS 2025 Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections Bo Wang, Qinyuan Cheng, Runyu Peng, Rong Bao, Peiji Li, Qipeng Guo, Linyang Li, Zhiyuan Zeng, Yunhua Zhou, Xipeng Qiu
NeurIPS 2025 Pre-Trained Policy Discriminators Are General Reward Models Shihan Dou, Shichun Liu, Yuming Yang, Yicheng Zou, Yunhua Zhou, Shuhao Xing, Chenhao Huang, Qiming Ge, Haijun Lv, Demin Song, Songyang Gao, Chengqi Lyu, Enyu Zhou, Honglin Guo, Zhiheng Xi, Qipeng Guo, Wenwei Zhang, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Kai Chen
AISTATS 2025 Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners Yuxin Wang, Botian Jiang, Yiran Guo, Quan Gan, David Wipf, Xuanjing Huang, Xipeng Qiu
ICLR 2025 ReAttention: Training-Free Infinite Context with Finite Attention Scope Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Qipeng Guo, Yuerong Song, Kai Lv, Hang Yan, Linlin Li, Qun Liu, Xipeng Qiu
ICLR 2025 Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures Junxuan Wang, Xuyang Ge, Wentao Shu, Qiong Tang, Yunhua Zhou, Zhengfu He, Xipeng Qiu
ICCV 2025 VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks Shiduo Zhang, Zhe Xu, Peiju Liu, Xiaopeng Yu, Yuan Li, Qinghui Gao, Zhaoye Fei, Zhangyue Yin, Zuxuan Wu, Yu-Gang Jiang, Xipeng Qiu
ICML 2025 VideoRoPE: What Makes for Good Video Rotary Position Embedding? Xilin Wei, Xiaoran Liu, Yuhang Zang, Xiaoyi Dong, Pan Zhang, Yuhang Cao, Jian Tong, Haodong Duan, Qipeng Guo, Jiaqi Wang, Xipeng Qiu, Dahua Lin
ICLRW 2025 World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning Siyin Wang, Zhaoye Fei, Qinyuan Cheng, Shiduo Zhang, Panpan Cai, Jinlan Fu, Xipeng Qiu
NeurIPS 2025 World-Aware Planning Narratives Enhance Large Vision-Language Model Planner Junhao Shi, Zhaoye Fei, Siyin Wang, Qipeng Guo, Jingjing Gong, Xipeng Qiu
NeurIPS 2024 Alignment for Honesty Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, Pengfei Liu
ICMLW 2024 Automatically Identifying Local and Global Circuits with Linear Computation Graphs Xuyang Ge, Fukang Zhu, Wentao Shu, Junxuan Wang, Zhengfu He, Xipeng Qiu
ICML 2024 Can AI Assistants Know What They Don’t Know? Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu, Wenwei Zhang, Zhangyue Yin, Shimin Li, Linyang Li, Zhengfu He, Kai Chen, Xipeng Qiu
NeurIPS 2024 Can Language Models Learn to Skip Steps? Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang
ICLRW 2024 Corex: Pushing the Boundaries of Complex Reasoning Through Multi-Model Collaboration Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong
AAAI 2024 DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu
CVPR 2024 Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration Yixuan Sun, Zhangyue Yin, Haibo Wang, Yan Wang, Xipeng Qiu, Weifeng Ge, Wenqiang Zhang
ICLR 2024 Scaling Laws of RoPE-Based Extrapolation Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin
NeurIPS 2024 SpeechAlign: Aligning Speech Generation to Human Preferences Dong Zhang, Zhaowei Li, Shimin Li, Xin Zhang, Pengyu Wang, Yaqian Zhou, Xipeng Qiu
ICLR 2024 SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models Xin Zhang, Dong Zhang, Shimin Li, Yaqian Zhou, Xipeng Qiu
ICML 2024 Training-Free Long-Context Scaling of Large Language Models Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong
ICML 2023 From Hypergraph Energy Functions to Hypergraph Neural Networks Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf
AAAI 2023 Mitigating Negative Style Transfer in Hybrid Dialogue System Shimin Li, Qinyuan Cheng, Linyang Li, Xipeng Qiu
NeurIPSW 2023 Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
ICML 2022 Black-Box Tuning for Language-Model-as-a-Service Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, Xipeng Qiu
NeurIPS 2022 CoNT: Contrastive Neural Text Generation Chenxin An, Jiangtao Feng, Kai Lv, Lingpeng Kong, Xipeng Qiu, Xuanjing Huang
AAAI 2022 Contrast and Generation Make BART a Good Dialogue Emotion Recognizer Shimin Li, Hang Yan, Xipeng Qiu
ICML 2022 What Dense Graph Do You Need for Self-Attention? Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
AISTATS 2021 Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, Wipf David
AAAI 2021 Enhancing Scientific Papers Summarization with Citation Graph Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang
AAAI 2021 Finding Sparse Structures for Domain Specific Neural Machine Translation Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li
AAAI 2021 Token-Aware Virtual Adversarial Training in Natural Language Understanding Linyang Li, Xipeng Qiu
AAAI 2020 Joint Parsing and Generation for Abstractive Summarization Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei 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
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 2019 Switch-LSTMs for Multi-Criteria Chinese Word Segmentation Jingjing Gong, Xinchi Chen, Tao Gui, Xipeng Qiu
AAAI 2018 Incorporating Discriminator in Sentence Generation: A Gibbs Sampling Method Jinyue Su, Jiacheng Xu, Xipeng Qiu, Xuanjing Huang
AAAI 2018 Meta Multi-Task Learning for Sequence Modeling Jun-Kun Chen, Xipeng Qiu, Pengfei Liu, Xuanjing Huang
IJCAI 2018 Reinforced Mnemonic Reader for Machine Reading Comprehension Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou
IJCAI 2018 Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks Renjie Zheng, Jun-Kun Chen, Xipeng Qiu
IJCAI 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang
IJCAI 2017 A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging Xinchi Chen, Xipeng Qiu, 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
IJCAI 2017 Knowledge Graph Representation with Jointly Structural and Textual Encoding Jiacheng Xu, Xipeng Qiu, Kan Chen, Xuanjing Huang
IJCAI 2016 Bridging LSTM Architecture and the Neural Dynamics During Reading Peng Qian, Xipeng Qiu, Xuanjing Huang
IJCAI 2016 Recurrent Neural Network for Text Classification with Multi-Task Learning Pengfei Liu, Xipeng Qiu, Xuanjing Huang
IJCAI 2015 Convolutional Neural Tensor Network Architecture for Community-Based Question Answering Xipeng Qiu, Xuanjing Huang
IJCAI 2015 Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model Pengfei Liu, Xipeng Qiu, Xuanjing Huang
IJCAI 2013 Learning Topical Translation Model for Microblog Hashtag Suggestion Zhuoye Ding, Xipeng Qiu, Qi Zhang, Xuanjing Huang
ICCV 2005 Face Recognition by Stepwise Nonparametric Margin Maximum Criterion Xipeng Qiu, Lide Wu
IJCAI 2005 Stepwise Nearest Neighbor Discriminant Analysis Xipeng Qiu, Lide Wu