Qipeng Guo

According to our database, Qipeng Guo authored at least 47 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

InternLM2 Technical Report.

Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, Fukai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, et al.

CoRR, 2024

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.

Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu

CoRR, 2024

NovelQA: A Benchmark for Long-Range Novel Question Answering.

Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang

CoRR, 2024

Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem.

Yuhong Sun, Zhangyue Yin, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Hui Zhao

CoRR, 2024

Data-freeWeight Compress and Denoise for Large Language Models.

Runyu Peng, Yunhua Zhou, Qipeng Guo, Yang Gao, Hang Yan, Xipeng Qiu, Dahua Lin

CoRR, 2024

LongWanjuan: Towards Systematic Measurement for Long Text Quality.

Kai Lv, Xiaoran Liu, Qipeng Guo, Hang Yan, Conghui He, Xipeng Qiu, Dahua Lin

CoRR, 2024

Identifying Semantic Induction Heads to Understand In-Context Learning.

Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin

CoRR, 2024

Code Needs Comments: Enhancing Code LLMs with Comment Augmentation.

Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin

CoRR, 2024

Turn Waste into Worth: Rectifying Top-k Router of MoE.

Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu

CoRR, 2024

F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods.

Yu Sun, Keyu Chen, Shujie Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin

CoRR, 2024

2023

AdaLomo: Low-memory Optimization with Adaptive Learning Rate.

Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu

CoRR, 2023

Full Parameter Fine-tuning for Large Language Models with Limited Resources.

Kai Lv, Yuqing Yang, Tengxiao Liu, Qinghui Gao, Qipeng Guo, Xipeng Qiu

CoRR, 2023

All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations.

Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell

CoRR, 2023

Evaluating Open-QA Evaluation.

Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.

Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication.

Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CoLLiE: Collaborative Training of Large Language Models in an Efficient Way.

Kai Lv, Shuo Zhang, Tianle Gu, Shuhao Xing, Jiawei Hong, Keyu Chen, Xiaoran Liu, Yuqing Yang, Honglin Guo, Tengxiao Liu, Yu Sun, Qipeng Guo, Hang Yan, Xipeng Qiu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding.

Jiayang Cheng, Lin Qiu, Tsz Ho Chan, Tianqing Fang, Weiqi Wang, Chunkit Chan, Dongyu Ru, Qipeng Guo, Hongming Zhang, Yangqiu Song, Yue Zhang, Zheng Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Do Large Language Models Know What They Don't Know?

Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Exploiting Abstract Meaning Representation for Open-Domain Question Answering.

Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Dual Cache for Long Document Neural Coreference Resolution.

Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

An AMR-based Link Prediction Approach for Document-level Event Argument Extraction.

Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Word-Level Representation From Bytes For Language Modeling.

Chu-Tak Lee, Qipeng Guo, Xipeng Qiu

CoRR, 2022

What Dense Graph Do You Need for Self-Attention?

Yuxing Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu

CoRR, 2022

Towards Collaborative Question Answering: A Preliminary Study.

Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang

CoRR, 2022

BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information.

Hang Yan, Yu Sun, Junqi Dai, Xiangkun Hu, Qipeng Guo, Xipeng Qiu, Xuanjing Huang

Proceedings of the Natural Language Processing and Chinese Computing, 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

Proceedings of the International Conference on Machine Learning, 2022

RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees.

Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Dialogue Meaning Representation for Task-Oriented Dialogue Systems.

Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DORE: Document Ordered Relation Extraction based on Generative Framework.

Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Syntax-guided text generation via graph neural network.

Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang

Sci. China Inf. Sci., 2021

Text information aggregation with centrality attention.

Jingjing Gong, Hang Yan, Yining Zheng, Qipeng Guo, Xipeng Qiu, Xuanjing Huang

Sci. China Inf. Sci., 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, David Wipf

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Unified Generative Framework for Various NER Subtasks.

Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training.

Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, Zheng Zhang

CoRR, 2020

BERT-ATTACK: Adversarial Attack Against BERT Using BERT.

Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, Xipeng Qiu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

CoLAKE: Contextualized Language and Knowledge Embedding.

Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation.

Zhijing Jin, Qipeng Guo, Xipeng Qiu, Zheng Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Joint Parsing and Generation for Abstractive Summarization.

Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Scale Self-Attention for Text Classification.

Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Low-Rank and Locality Constrained Self-Attention for Sequence Modeling.

Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2019

BP-Transformer: Modelling Long-Range Context via Binary Partitioning.

Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang

CoRR, 2019

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.

Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang

CoRR, 2019

Star-Transformer.

Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Top-Down Tree Structured Text Generation.

Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang

CoRR, 2018

2015

First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks.

Quan Gan, Qipeng Guo, Zheng Zhang, Kyunghyun Cho

CoRR, 2015