Qipeng Guo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 82

Top Topics

Adaptive Learning Rate

Text Generation

Coreference Resolution

Top Venues

Publications

Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Qian Wang, Yue Zhang
NovelQA: A Benchmark for Long-Range Novel Question Answering. CoRR (2024)
Yuhong Sun, Zhangyue Yin, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Hui Zhao
Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem. LREC/COLING (2024)
Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin
Identifying Semantic Induction Heads to Understand In-Context Learning. CoRR (2024)
Fan Cui, Chenyang Yin, Kexing Zhou, Youwei Xiao, Guangyu Sun, Qiang Xu, Qipeng Guo, Demin Song, Dahua Lin, Xingcheng Zhang, Yun Liang
OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection. CoRR (2024)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Junqi Dai, Qinyuan Cheng, Xuanjing Huang, Xipeng Qiu
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. ACL (1) (2024)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. LREC/COLING (2024)
Robin Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
On Affine Homotopy between Language Encoders. CoRR (2024)
Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Quanshi Zhang, Xipeng Qiu, Dahua Lin
Identifying Semantic Induction Heads to Understand In-Context Learning. ACL (Findings) (2024)
Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu
Turn Waste into Worth: Rectifying Top-k Router of MoE. CoRR (2024)
Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models. ACL (1) (2024)
Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. ACL (Findings) (2024)
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
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. CoRR (2024)
Zifan Song, Yudong Wang, Wenwei Zhang, Kuikun Liu, Chengqi Lyu, Demin Song, Qipeng Guo, Hang Yan, Dahua Lin, Kai Chen, Cairong Zhao
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data. CoRR (2024)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. CoRR (2024)
Kai Lv, Yuqing Yang, Tengxiao Liu, Qipeng Guo, Xipeng Qiu
Full Parameter Fine-tuning for Large Language Models with Limited Resources. ACL (1) (2024)
Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu
AdaLomo: Low-memory Optimization with Adaptive Learning Rate. ACL (Findings) (2024)
Yu Sun, Keyuchen Keyuchen, Shujie Wang, Peiji Li, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. ACL (1) (2024)
Yuhong Sun, Zhangyue Yin, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Hui Zhao
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem. CoRR (2024)
Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models. CoRR (2024)
Kai Lv, Xiaoran Liu, Qipeng Guo, Hang Yan, Conghui He, Xipeng Qiu, Dahua Lin
LongWanjuan: Towards Systematic Measurement for Long Text Quality. CoRR (2024)
Yunfan Shao, Linyang Li, Yichuan Ma, Peiji Li, Demin Song, Qinyuan Cheng, Shimin Li, Xiaonan Li, Pengyu Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin
Case2Code: Learning Inductive Reasoning with Synthetic Data. CoRR (2024)
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.
InternLM2 Technical Report. CoRR (2024)
Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang
RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models. CoRR (2024)
Pan Zhang, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Rui Qian, Lin Chen, Qipeng Guo, Haodong Duan, Bin Wang, Linke Ouyang, Songyang Zhang, Wenwei Zhang, Yining Li, Yang Gao, Peng Sun, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Hang Yan, Conghui He, Xingcheng Zhang, Kai Chen, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output. CoRR (2024)
Yu Sun, Keyu Chen, Shujie Wang, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods. CoRR (2024)
Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. CoRR (2024)
Runyu Peng, Yunhua Zhou, Qipeng Guo, Yang Gao, Hang Yan, Xipeng Qiu, Dahua Lin
Data-freeWeight Compress and Denoise for Large Language Models. CoRR (2024)
Xiaoran Liu, Qipeng Guo, Yuerong Song, Zhigeng Liu, Kai Lv, Hang Yan, Linlin Li, Qun Liu, Xipeng Qiu
Farewell to Length Extrapolation, a Training-Free Infinite Context with Finite Attention Scope. CoRR (2024)
Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Ryan Cotterell
All Roads Lead to Rome? Exploring the Invariance of Transformers' Representations. CoRR (2023)
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
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. EMNLP (2023)
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. CoRR (2023)
Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. CoRR (2023)
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. ACL (Findings) (2023)
Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu
AdaLomo: Low-memory Optimization with Adaptive Learning Rate. CoRR (2023)
Kai Lv, Yuqing Yang, Tengxiao Liu, Qinghui Gao, Qipeng Guo, Xipeng Qiu
Full Parameter Fine-tuning for Large Language Models with Limited Resources. CoRR (2023)
Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. CoRR (2023)
Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. ACL (1) (2023)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang
Do Large Language Models Know What They Don't Know? ACL (Findings) (2023)
Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang
Evaluating Open-QA Evaluation. NeurIPS (2023)
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
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way. CoRR (2023)
Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus. EMNLP (2023)
Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang
Do Large Language Models Know What They Don't Know? CoRR (2023)
Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts. EMNLP (2023)
Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. EMNLP (2023)
Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts. CoRR (2023)
Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu
Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus. CoRR (2023)
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
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way. EMNLP (Demos) (2023)
Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
Dual Cache for Long Document Neural Coreference Resolution. ACL (1) (2023)
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
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding. CoRR (2023)
Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
What Dense Graph Do You Need for Self-Attention? ICML (2022)
Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees. EMNLP (2022)
Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees. CoRR (2022)
Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang
DORE: Document Ordered Relation Extraction based on Generative Framework. EMNLP (Findings) (2022)
Chu-Tak Lee, Qipeng Guo, Xipeng Qiu
Word-Level Representation From Bytes For Language Modeling. CoRR (2022)
Yuxing Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
What Dense Graph Do You Need for Self-Attention? CoRR (2022)
Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang
Dialogue Meaning Representation for Task-Oriented Dialogue Systems. CoRR (2022)
Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang
Dialogue Meaning Representation for Task-Oriented Dialogue Systems. EMNLP (Findings) (2022)
Hang Yan, Yu Sun, Junqi Dai, Xiangkun Hu, Qipeng Guo, Xipeng Qiu, Xuanjing Huang
BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information. NLPCC (1) (2022)
Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang
DORE: Document Ordered Relation Extraction based on Generative Framework. CoRR (2022)
Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang
Towards Collaborative Question Answering: A Preliminary Study. CoRR (2022)
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu
A Unified Generative Framework for Various NER Subtasks. CoRR (2021)
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. AISTATS (2021)
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang
Syntax-guided text generation via graph neural network. Sci. China Inf. Sci. 64 (5) (2021)
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu
A Unified Generative Framework for Various NER Subtasks. ACL/IJCNLP (1) (2021)
Jingjing Gong, Hang Yan, Yining Zheng, Qipeng Guo, Xipeng Qiu, Xuanjing Huang
Text information aggregation with centrality attention. Sci. China Inf. Sci. 64 (12) (2021)
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. CoRR (2020)
Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, Zheng Zhang
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training. CoRR (2020)
Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, Xipeng Qiu
BERT-ATTACK: Adversarial Attack Against BERT Using BERT. CoRR (2020)
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
CoLAKE: Contextualized Language and Knowledge Embedding. CoRR (2020)
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
Multi-Scale Self-Attention for Text Classification. AAAI (2020)
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
Joint Parsing and Generation for Abstractive Summarization. AAAI (2020)
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang
CoLAKE: Contextualized Language and Knowledge Embedding. COLING (2020)
Zhijing Jin, Qipeng Guo, Xipeng Qiu, Zheng Zhang
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation. COLING (2020)
Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, Xipeng Qiu
BERT-ATTACK: Adversarial Attack Against BERT Using BERT. EMNLP (1) (2020)
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang
Star-Transformer. NAACL-HLT (1) (2019)
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
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR (2019)
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
Multi-Scale Self-Attention for Text Classification. CoRR (2019)
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang
Low-Rank and Locality Constrained Self-Attention for Sequence Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 27 (12) (2019)
Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang
Star-Transformer. CoRR (2019)
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu
Joint Parsing and Generation for Abstractive Summarization. CoRR (2019)
Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang
BP-Transformer: Modelling Long-Range Context via Binary Partitioning. CoRR (2019)
Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang
Top-Down Tree Structured Text Generation. CoRR (2018)
Quan Gan, Qipeng Guo, Zheng Zhang, Kyunghyun Cho
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks. CoRR (2015)