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2020 – today
- 2024
- [c37]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: 2401-2416 - [c36]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: 2985-3002 - [c35]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: 6916-6932 - [c34]Kai Lv, Yuqing Yang, Tengxiao Liu, Qipeng Guo, Xipeng Qiu:
Full Parameter Fine-tuning for Large Language Models with Limited Resources. ACL (1) 2024: 8187-8198 - [c33]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: 9348-9369 - [c32]Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu:
AdaLomo: Low-memory Optimization with Adaptive Learning Rate. ACL (Findings) 2024: 12486-12502 - [c31]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: 13640-13656 - [c30]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: 609-625 - [c29]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: 2178-2188 - [c28]Xiaoran Liu, Kai Lv, Qipeng Guo, Hang Yan, Conghui He, Xipeng Qiu, Dahua Lin:
LongWanjuan: Towards Systematic Measurement for Long Text Quality. EMNLP (Findings) 2024: 5709-5725 - [c27]Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang:
Knowledge-Centric Hallucination Detection. EMNLP 2024: 6953-6975 - [c26]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. EMNLP 2024: 13305-13320 - [c25]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang:
Explicit Memory Learning with Expectation Maximization. EMNLP 2024: 16618-16635 - [c24]Zhiyuan Zeng, Qipeng Guo, Xiaoran Liu, Zhangyue Yin, Wentao Shu, Mianqiu Huang, Bo Wang, Yunhua Zhou, Linlin Li, Qun Liu, Xipeng Qiu:
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk. EMNLP 2024: 21021-21034 - [i52]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 abs/2401.14869 (2024) - [i51]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 abs/2402.12399 (2024) - [i50]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 abs/2402.13013 (2024) - [i49]Jie Ren, Qipeng Guo, Hang Yan, Dongrui Liu, Xipeng Qiu, Dahua Lin:
Identifying Semantic Induction Heads to Understand In-Context Learning. CoRR abs/2402.13055 (2024) - [i48]Kai Lv, Xiaoran Liu, Qipeng Guo, Hang Yan, Conghui He, Xipeng Qiu, Dahua Lin:
LongWanjuan: Towards Systematic Measurement for Long Text Quality. CoRR abs/2402.13583 (2024) - [i47]Runyu Peng, Yunhua Zhou, Qipeng Guo, Yang Gao, Hang Yan, Xipeng Qiu, Dahua Lin:
Data-freeWeight Compress and Denoise for Large Language Models. CoRR abs/2402.16319 (2024) - [i46]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 abs/2403.03558 (2024) - [i45]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 abs/2403.12766 (2024) - [i44]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 abs/2403.14734 (2024) - [i43]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, Xiaomeng Zhao, et al.:
InternLM2 Technical Report. CoRR abs/2403.17297 (2024) - [i42]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 abs/2405.12939 (2024) - [i41]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 abs/2405.14486 (2024) - [i40]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 abs/2405.19265 (2024) - [i39]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 abs/2406.02148 (2024) - [i38]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 abs/2406.02329 (2024) - [i37]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 abs/2407.03320 (2024) - [i36]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 abs/2407.12504 (2024) - [i35]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 abs/2407.15176 (2024) - [i34]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 abs/2407.16237 (2024) - [i33]Zhi Chen, Qiguang Chen, Libo Qin, Qipeng Guo, Haijun Lv, Yicheng Zou, Wanxiang Che, Hang Yan, Kai Chen, Dahua Lin:
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices. CoRR abs/2409.01893 (2024) - [i32]Zhe Xu, Jiasheng Ye, Xiangyang Liu, Tianxiang Sun, Xiaoran Liu, Qipeng Guo, Linlin Li, Qun Liu, Xuanjing Huang, Xipeng Qiu:
DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels. CoRR abs/2409.02465 (2024) - [i31]Zhengfu He, Wentao Shu, Xuyang Ge, Lingjie Chen, Junxuan Wang, Yunhua Zhou, Frances Liu, Qipeng Guo, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang, Xipeng Qiu:
Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders. CoRR abs/2410.20526 (2024) - [i30]Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Can Language Models Learn to Skip Steps? CoRR abs/2411.01855 (2024) - 2023
- [c23]Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. ACL (Findings) 2023: 2083-2096 - [c22]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: 8653-8665 - [c21]Yuqing Yang, Qipeng Guo, Xiangkun Hu
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction. ACL (1) 2023: 12876-12889 - [c20]Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang:
Dual Cache for Long Document Neural Coreference Resolution. ACL (1) 2023: 15272-15285 - [c19]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: 527-542 - [c18]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: 915-932 - [c17]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: 2807-2822 - [c16]Cheng Jiayang, 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: 11518-11537 - [c15]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: 15135-15153 - [c14]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 - [i29]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 abs/2305.14555 (2023) - [i28]Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang:
Exploiting Abstract Meaning Representation for Open-Domain Question Answering. CoRR abs/2305.17050 (2023) - [i27]Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang:
Do Large Language Models Know What They Don't Know? CoRR abs/2305.18153 (2023) - [i26]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 abs/2305.19162 (2023) - [i25]Kai Lv, Yuqing Yang, Tengxiao Liu, Qinghui Gao, Qipeng Guo, Xipeng Qiu:
Full Parameter Fine-tuning for Large Language Models with Limited Resources. CoRR abs/2306.09782 (2023) - [i24]Kai Lv, Hang Yan, Qipeng Guo, Haijun Lv, Xipeng Qiu:
AdaLomo: Low-memory Optimization with Adaptive Learning Rate. CoRR abs/2310.10195 (2023) - [i23]Cheng Jiayang, 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 abs/2310.12874 (2023) - [i22]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 abs/2310.14628 (2023) - [i21]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 abs/2311.13230 (2023) - [i20]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 abs/2312.00407 (2023) - [i19]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 abs/2312.01823 (2023) - 2022
- [c13]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: 223-237 - [c12]Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang:
DORE: Document Ordered Relation Extraction based on Generative Framework. EMNLP (Findings) 2022: 3463-3474 - [c11]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: 7177-7189 - [c10]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: 22752-22768 - [c9]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: 159-171 - [i18]Xiangkun Hu, Hang Yan, Qipeng Guo, Xipeng Qiu, Weinan Zhang, Zheng Zhang:
Towards Collaborative Question Answering: A Preliminary Study. CoRR abs/2201.09708 (2022) - [i17]Xiangkun Hu, Junqi Dai, Hang Yan, Yi Zhang, Qipeng Guo, Xipeng Qiu, Zheng Zhang:
Dialogue Meaning Representation for Task-Oriented Dialogue Systems. CoRR abs/2204.10989 (2022) - [i16]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 abs/2205.14014 (2022) - [i15]Qipeng Guo, Yuqing Yang, Hang Yan, Xipeng Qiu, Zheng Zhang:
DORE: Document Ordered Relation Extraction based on Generative Framework. CoRR abs/2210.16064 (2022) - [i14]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 abs/2210.17095 (2022) - [i13]Chu-Tak Lee, Qipeng Guo, Xipeng Qiu:
Word-Level Representation From Bytes For Language Modeling. CoRR abs/2211.12677 (2022) - 2021
- [j3]Qipeng Guo, Xipeng Qiu
Syntax-guided text generation via graph neural network. Sci. China Inf. Sci. 64(5) (2021) - [j2]Jingjing Gong, Hang Yan, Yining Zheng, Qipeng Guo, Xipeng Qiu
Text information aggregation with centrality attention. Sci. China Inf. Sci. 64(12) (2021) - [c8]Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu:
A Unified Generative Framework for Various NER Subtasks. ACL/IJCNLP (1) 2021: 5808-5822 - [c7]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: 1828-1836 - [i12]Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu:
A Unified Generative Framework for Various NER Subtasks. CoRR abs/2106.01223 (2021) - 2020
- [c6]Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang:
Multi-Scale Self-Attention for Text Classification. AAAI 2020: 7847-7854 - [c5]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: 8894-8901 - [c4]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: 2398-2409 - [c3]Tianxiang Sun
CoLAKE: Contextualized Language and Knowledge Embedding. COLING 2020: 3660-3670 - [c2]Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, Xipeng Qiu:
BERT-ATTACK: Adversarial Attack Against BERT Using BERT. EMNLP (1) 2020: 6193-6202 - [i11]Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, Xipeng Qiu:
BERT-ATTACK: Adversarial Attack Against BERT Using BERT. CoRR abs/2004.09984 (2020) - [i10]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 abs/2006.04702 (2020) - [i9]Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, Zheng Zhang:
CoLAKE: Contextualized Language and Knowledge Embedding. CoRR abs/2010.00309 (2020) - [i8]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 abs/2012.07412 (2020)
2010 – 2019
- 2019
- [j1]Qipeng Guo
Low-Rank and Locality Constrained Self-Attention for Sequence Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 2213-2222 (2019) - [c1]Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang:
Star-Transformer. NAACL-HLT (1) 2019: 1315-1325 - [i7]Qipeng Guo, Xipeng Qiu, Pengfei Liu, Yunfan Shao, Xiangyang Xue, Zheng Zhang:
Star-Transformer. CoRR abs/1902.09113 (2019) - [i6]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 abs/1909.01315 (2019) - [i5]Zihao Ye, Qipeng Guo, Quan Gan, Xipeng Qiu, Zheng Zhang:
BP-Transformer: Modelling Long-Range Context via Binary Partitioning. CoRR abs/1911.04070 (2019) - [i4]Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu:
Joint Parsing and Generation for Abstractive Summarization. CoRR abs/1911.10389 (2019) - [i3]Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang:
Multi-Scale Self-Attention for Text Classification. CoRR abs/1912.00544 (2019) - 2018
- [i2]Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Zheng Zhang:
Top-Down Tree Structured Text Generation. CoRR abs/1808.04865 (2018) - 2015
- [i1]Quan Gan, Qipeng Guo, Zheng Zhang, Kyunghyun Cho:
First Step toward Model-Free, Anonymous Object Tracking with Recurrent Neural Networks. CoRR abs/1511.06425 (2015)
Coauthor Index
[c37] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c26] [c25] [c24] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i44] [i42] [i36] [i35] [i32] [i31] [i30] [c22] [c21] [c20] [c19] [c17] [c15] [i27] [i26] [i25] [i24] [i22] [i20] [i19] [c13] [c12] [c11] [c10] [c9] [i18] [i17] [i16] [i15] [i14] [i13] [j3] [j2] [c8] [c7] [i12] [c6] [c5] [c4] [c3] [c2] [i11] [i10] [i9] [i8] [j1] [c1] [i7] [i5] [i4] [i3] [i2]
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