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2020 – today
- 2025
[j11]Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou:
Explainable automated debugging via large language model-driven scientific debugging. Empir. Softw. Eng. 30(2): 45 (2025)- 2024
- [c99]Shengnan An, Zexiong Ma, Siqi Cai, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen:
Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks. EMNLP (Findings) 2024: 833-854 - [c98]Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen:
Automatic Instruction Evolving for Large Language Models. EMNLP 2024: 6998-7018 - [c97]Yurong Wu, Yan Gao, Bin Zhu, Zineng Zhou, Xiaodi Sun, Sheng Yang, Jian-Guang Lou, Zhiming Ding, Linjun Yang:
StraGo: Harnessing Strategic Guidance for Prompt Optimization. EMNLP (Findings) 2024: 10043-10061 - [c96]Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma:
Re-Reading Improves Reasoning in Large Language Models. EMNLP 2024: 15549-15575 - [c95]Sheng Yang, Yurong Wu, Yan Gao, Zineng Zhou, Bin Zhu, Xiaodi Sun, Jian-Guang Lou, Zhiming Ding, Anbang Hu, Yuan Fang, Yunsong Li, Junyan Chen, Linjun Yang:
AMPO: Automatic Multi-Branched Prompt Optimization. EMNLP 2024: 20267-20279 - [c94]Jiawei Lin
, Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Ting Liu, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
IconDM: Text-Guided Icon Set Expansion Using Diffusion Models. ACM Multimedia 2024: 156-165 - [c93]Zhehao Zhang, Yan Gao, Jian-Guang Lou:
E⁵: Zero-shot Hierarchical Table Analysis using Augmented LLMs via Explain, Extract, Execute, Exhibit and Extrapolate. NAACL-HLT 2024: 1244-1258 - [i63]Jinyang Li, Nan Huo, Yan Gao, Jiayi Shi, Yingxiu Zhao, Ge Qu, Yurong Wu, Chenhao Ma, Jian-Guang Lou, Reynold Cheng:
Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents. CoRR abs/2403.05307 (2024) - [i62]Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou:
Make Your LLM Fully Utilize the Context. CoRR abs/2404.16811 (2024) - [i61]Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen:
Automatic Instruction Evolving for Large Language Models. CoRR abs/2406.00770 (2024) - [i60]Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CoRR abs/2407.11033 (2024) - [i59]Yurong Wu, Yan Gao, Bin Benjamin Zhu, Zineng Zhou, Xiaodi Sun, Sheng Yang, Jian-Guang Lou, Zhiming Ding, Linjun Yang:
StraGo: Harnessing Strategic Guidance for Prompt Optimization. CoRR abs/2410.08601 (2024) - [i58]Sheng Yang, Yurong Wu, Yan Gao, Zineng Zhou, Bin Benjamin Zhu, Xiaodi Sun, Jian-Guang Lou, Zhiming Ding, Anbang Hu, Yuan Fang, Yunsong Li, Junyan Chen, Linjun Yang:
AMPO: Automatic Multi-Branched Prompt Optimization. CoRR abs/2410.08696 (2024) - 2023
- [j10]Junren Li, Lei Fang, Jian-Guang Lou:
RetroRanker: leveraging reaction changes to improve retrosynthesis prediction through re-ranking. J. Cheminformatics 15(1): 58 (2023) - [j9]Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Jian-Guang Lou, Dechen Zhan:
UniSAr: a unified structure-aware autoregressive language model for text-to-SQL semantic parsing. Int. J. Mach. Learn. Cybern. 14(12): 4361-4376 (2023) - [c92]Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou:
MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing. AAAI 2023: 12745-12753 - [c91]Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen:
Making Language Models Better Reasoners with Step-Aware Verifier. ACL (1) 2023: 5315-5333 - [c90]Bing Wang, Yan Gao, Zhoujun Li, Jian-Guang Lou:
Know What I don't Know: Handling Ambiguous and Unknown Questions for Text-to-SQL. ACL (Findings) 2023: 5701-5714 - [c89]Jian Wu, Yicheng Xu, Yan Gao, Jian-Guang Lou, Börje Karlsson, Manabu Okumura:
TACR: A Table Alignment-based Cell Selection Method for HybridQA. ACL (Findings) 2023: 6535-6549 - [c88]Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou:
Large Language Models Meet NL2Code: A Survey. ACL (1) 2023: 7443-7464 - [c87]Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang:
How Do In-Context Examples Affect Compositional Generalization? ACL (1) 2023: 11027-11052 - [c86]Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou:
Uncovering and Categorizing Social Biases in Text-to-SQL. ACL (1) 2023: 13573-13584 - [c85]Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CIKM 2023: 276-285 - [c84]Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang:
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction. CVPR 2023: 18403-18412 - [c83]Zhehao Zhang, Xitao Li, Yan Gao, Jian-Guang Lou:
CRT-QA: A Dataset of Complex Reasoning Question Answering over Tabular Data. EMNLP 2023: 2131-2153 - [c82]Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen:
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. EMNLP 2023: 2471-2484 - [c81]Xinyu Zhu, Cheng Yang, Bei Chen, Siheng Li, Jian-Guang Lou, Yujiu Yang:
Question Answering as Programming for Solving Time-Sensitive Questions. EMNLP 2023: 12775-12790 - [c80]Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou:
Skill-Based Few-Shot Selection for In-Context Learning. EMNLP 2023: 13472-13492 - [c79]Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang:
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. ICCV 2023: 7192-7202 - [c78]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang:
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions. ICCV 2023: 23565-23574 - [c77]Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou:
Does Deep Learning Learn to Abstract? A Systematic Probing Framework. ICLR 2023 - [c76]Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen:
CodeT: Code Generation with Generated Tests. ICLR 2023 - [c75]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
LayoutPrompter: Awaken the Design Ability of Large Language Models. NeurIPS 2023 - [c74]Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho:
Uncovering and Quantifying Social Biases in Code Generation. NeurIPS 2023 - [i57]Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou:
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. CoRR abs/2301.01067 (2023) - [i56]Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou:
Does Deep Learning Learn to Abstract? A Systematic Probing Framework. CoRR abs/2302.11978 (2023) - [i55]Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang:
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. CoRR abs/2303.11589 (2023) - [i54]Fengji Zhang, Bei Chen, Yue Zhang, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen:
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. CoRR abs/2303.12570 (2023) - [i53]Sungmin Kang, Bei Chen, Shin Yoo, Jian-Guang Lou:
Explainable Automated Debugging via Large Language Model-driven Scientific Debugging. CoRR abs/2304.02195 (2023) - [i52]Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang:
How Do In-Context Examples Affect Compositional Generalization? CoRR abs/2305.04835 (2023) - [i51]Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou:
Skill-Based Few-Shot Selection for In-Context Learning. CoRR abs/2305.14210 (2023) - [i50]Xinyu Zhu, Cheng Yang, Bei Chen, Siheng Li, Jian-Guang Lou, Yujiu Yang:
Question Answering as Programming for Solving Time-Sensitive Questions. CoRR abs/2305.14221 (2023) - [i49]Jian Wu, Yicheng Xu, Yan Gao, Jian-Guang Lou, Börje F. Karlsson, Manabu Okumura:
TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering. CoRR abs/2305.14682 (2023) - [i48]Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho:
Uncovering and Quantifying Social Biases in Code Generation. CoRR abs/2305.15377 (2023) - [i47]Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash, Jian-Guang Lou:
Uncovering and Categorizing Social Biases in Text-to-SQL. CoRR abs/2305.16253 (2023) - [i46]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang:
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions. CoRR abs/2308.12700 (2023) - [i45]Danqing Huang, Jiaqi Guo, Shizhao Sun, Hanling Tian, Jieru Lin, Zheng Hu, Chin-Yew Lin, Jian-Guang Lou, Dongmei Zhang:
A Survey for Graphic Design Intelligence. CoRR abs/2309.01371 (2023) - [i44]Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen:
Learning From Mistakes Makes LLM Better Reasoner. CoRR abs/2310.20689 (2023) - [i43]Junren Li, Lei Fang, Jian-Guang Lou:
Retro-BLEU: Quantifying Chemical Plausibility of Retrosynthesis Routes through Reaction Template Sequence Analysis. CoRR abs/2311.06304 (2023) - [i42]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang:
LayoutPrompter: Awaken the Design Ability of Large Language Models. CoRR abs/2311.06495 (2023) - [i41]Yucheng Zhou, Xiubo Geng, Tao Shen, Chongyang Tao, Guodong Long, Jian-Guang Lou, Jianbing Shen:
Thread of Thought Unraveling Chaotic Contexts. CoRR abs/2311.08734 (2023) - [i40]Zhenwen Li, Jian-Guang Lou, Tao Xie:
Data Transformation to Construct a Dataset for Generating Entity-Relationship Model from Natural Language. CoRR abs/2312.13694 (2023) - 2022
- [j8]Shuyue Li, Jiaqi Guo, Yan Gao, Jian-Guang Lou, Dejian Yang, Yan Xiao, Yadong Zhou, Ting Liu:
How to manage a task-oriented virtual assistant software project: an experience report. Frontiers Inf. Technol. Electron. Eng. 23(5): 749-762 (2022) - [c73]Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang:
Coarse-to-Fine Generative Modeling for Graphic Layouts. AAAI 2022: 1096-1103 - [c72]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. ACL (1) 2022: 1094-1110 - [c71]Xinyu Pi, Bing Wang, Yan Gao, Jiaqi Guo, Zhoujun Li, Jian-Guang Lou:
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation. ACL (1) 2022: 2007-2022 - [c70]Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan:
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding. ACL (1) 2022: 2677-2686 - [c69]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. EMNLP (Findings) 2022: 277-288 - [c68]Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. EMNLP (Findings) 2022: 471-485 - [c67]Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen:
Reasoning Like Program Executors. EMNLP 2022: 761-779 - [c66]Zhenwen Li, Jiaqi Guo, Qian Liu, Jian-Guang Lou, Tao Xie:
Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing. EMNLP 2022: 3616-3625 - [c65]Longxu Dou, Yan Gao, Xuqi Liu, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Min-Yen Kan, Jian-Guang Lou:
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge. EMNLP 2022: 5240-5253 - [c64]Zhi Chen, Bei Chen, Lu Chen, Kai Yu, Jian-Guang Lou:
AdapterShare: Task Correlation Modeling with Adapter Differentiation. EMNLP 2022: 10645-10651 - [c63]Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou:
TAPEX: Table Pre-training via Learning a Neural SQL Executor. ICLR 2022 - [c62]Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, Dongmei Zhang:
Testing Machine Learning Systems in Industry: An Empirical Study. ICSE (SEIP) 2022: 263-272 - [c61]Zhenming Li, Ying Wang, Zeqi Lin, Shing-Chi Cheung, Jian-Guang Lou:
Nufix: Escape From NuGet Dependency Maze. ICSE 2022: 1545-1557 - [c60]Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou:
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. IJCAI 2022: 2369-2375 - [c59]Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou:
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training. NeurIPS 2022 - [c58]Zhi Chen, Lu Chen, Bei Chen, Libo Qin, Yuncong Liu, Su Zhu, Jian-Guang Lou, Kai Yu:
UniDU: Towards A Unified Generative Dialogue Understanding Framework. SIGDIAL 2022: 442-455 - [i39]Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou:
LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. CoRR abs/2201.08081 (2022) - [i38]Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen:
Reasoning Like Program Executors. CoRR abs/2201.11473 (2022) - [i37]Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou:
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. CoRR abs/2203.03131 (2022) - [i36]Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Jian-Guang Lou, Wanxiang Che, Dechen Zhan:
UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL. CoRR abs/2203.07781 (2022) - [i35]Zhi Chen, Lu Chen, Bei Chen, Libo Qin, Yuncong Liu, Su Zhu, Jian-Guang Lou, Kai Yu:
UniDU: Towards A Unified Generative Dialogue Understanding Framework. CoRR abs/2204.04637 (2022) - [i34]Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan:
GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding. CoRR abs/2204.08325 (2022) - [i33]Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou:
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training. CoRR abs/2205.08794 (2022) - [i32]Zhi Chen, Jijia Bao, Lu Chen, Yuncong Liu, Da Ma, Bei Chen, Mengyue Wu, Su Zhu, Jian-Guang Lou, Kai Yu:
DialogZoo: Large-Scale Dialog-Oriented Task Learning. CoRR abs/2205.12662 (2022) - [i31]Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen:
On the Advance of Making Language Models Better Reasoners. CoRR abs/2206.02336 (2022) - [i30]Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou:
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation. CoRR abs/2206.06888 (2022) - [i29]Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen:
CodeT: Code Generation with Generated Tests. CoRR abs/2207.10397 (2022) - [i28]Zhaoyun Jiang, Huayu Deng, Zhongkai Wu, Jiaqi Guo, Shizhao Sun, Vuksan Mijovic, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation. CoRR abs/2208.08037 (2022) - [i27]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. CoRR abs/2210.17236 (2022) - [i26]Bing Wang, Yan Gao, Zhoujun Li, Jian-Guang Lou:
Know What I don't Know: Handling Ambiguous and Unanswerable Questions for Text-to-SQL. CoRR abs/2212.08902 (2022) - [i25]Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Neural Model Meets NL2Code: A Survey. CoRR abs/2212.09420 (2022) - [i24]Xinyu Pi, Bing Wang, Yan Gao, Jiaqi Guo, Zhoujun Li, Jian-Guang Lou:
Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation. CoRR abs/2212.09994 (2022) - [i23]Longxu Dou, Yan Gao, Mingyang Pan, Dingzirui Wang, Wanxiang Che, Dechen Zhan, Jian-Guang Lou:
MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing. CoRR abs/2212.13492 (2022) - 2021
- [j7]Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang:
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics. IEEE Trans. Vis. Comput. Graph. 27(2): 443-452 (2021) - [c57]Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang:
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. AAAI 2021: 7601-7609 - [c56]Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Iterative Utterance Segmentation for Neural Semantic Parsing. AAAI 2021: 12937-12945 - [c55]Shuang Chen, Qian Liu, Zhiwei Yu, Chin-Yew Lin, Jian-Guang Lou, Feng Jiang:
ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering. ACL (demo) 2021: 325-336 - [c54]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. ACL/IJCNLP (Findings) 2021: 1129-1144 - [c53]Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou, Jian-Guang Lou:
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing. ACL/IJCNLP (Findings) 2021: 1174-1189 - [c52]Jiaqi Guo, Ziliang Si, Yu Wang, Qian Liu, Ming Fan, Jian-Guang Lou, Zijiang Yang, Ting Liu:
Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL. ACL/IJCNLP (1) 2021: 2316-2331 - [c51]Kunrui Zhu, Yan Gao, Jiaqi Guo, Jian-Guang Lou:
Translating Headers of Tabular Data: A Pilot Study of Schema Translation. EMNLP (1) 2021: 56-66 - [c50]Tongliang Li, Lei Fang, Jian-Guang Lou, Zhoujun Li:
TWT: Table with Written Text for Controlled Data-to-Text Generation. EMNLP (Findings) 2021: 1244-1254 - [c49]Jiaqi Guo, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
Weakly Supervised Semantic Parsing by Learning from Mistakes. EMNLP (Findings) 2021: 2603-2617 - [c48]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing. IJCAI 2021: 3864-3870 - [c47]Chenyao Liu, Zeqi Lin, Jian-Guang Lou, Lijie Wen, Dongmei Zhang:
Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ. ASE 2021: 617-629 - [c46]Tongliang Li, Lei Fang, Jian-Guang Lou, Zhoujun Li, Dongmei Zhang:
AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries. WSDM 2021: 906-909 - [i22]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. CoRR abs/2107.06516 (2021) - [i21]Qian Liu, Bei Chen, Jiaqi Guo, Zeqi Lin, Jian-Guang Lou:
TAPEX: Table Pre-training via Learning a Neural SQL Executor. CoRR abs/2107.07653 (2021) - [i20]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. CoRR abs/2108.06712 (2021) - [i19]Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou, Jian-Guang Lou:
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing. CoRR abs/2109.10540 (2021) - [i18]Lei Fang, Jian-Guang Lou:
Part & Whole Extraction: Towards A Deep Understanding of Quantitative Facts for Percentages in Text. CoRR abs/2110.13505 (2021) - 2020
- [j6]Weiwei Cui, Xiaoyu Zhang, Yun Wang, He Huang, Bei Chen, Lei Fang, Haidong Zhang, Jian-Guang Lou, Dongmei Zhang:
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements. IEEE Trans. Vis. Comput. Graph. 26(1): 906-916 (2020) - [c45]Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. ACL 2020: 1417-1427 - [c44]Jiaqi Guo, Qian Liu, Jian-Guang Lou, Zhenwen Li, Xueqing Liu, Tao Xie, Ting Liu:
Benchmarking Meaning Representations in Neural Semantic Parsing. EMNLP (1) 2020: 1520-1540 - [c43]Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
Incomplete Utterance Rewriting as Semantic Segmentation. EMNLP (1) 2020: 2846-2857 - [c42]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. EMNLP (1) 2020: 6913-6922 - [c41]