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2020 – today
- 2025
[c81]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Shengping Liu, Kang Liu, Jun Zhao:
Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering. COLING 2025: 1333-1352- [c80]Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Jun Zhao, Kang Liu:
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. COLING 2025: 3203-3221 - [i43]Wangtao Sun, Haotian Xu, Huanxuan Liao, Xuanqing Yu, Zhongtao Jiang, Shizhu He, Jun Zhao, Kang Liu:
VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models. CoRR abs/2502.02315 (2025) - 2024
- [j14]Jie Liu
, Yaguang Li, Shizhu He, Shun Wu, Kang Liu, Shenping Liu, Jiong Wang, Qing Zhang:
Seq2Set2Seq: A Two-stage Disentangled Method for Reply Keyword Generation in Social Media. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(3): 41 (2024) - [j13]Runxin Sun, Shizhu He, Jun Zhao, Kang Liu:
Towards Better Quantity Representations for Solving Math Word Problems. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(7): 96:1-96:18 (2024) - [c79]Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu:
ItD: Large Language Models Can Teach Themselves Induction through Deduction. ACL (1) 2024: 2719-2731 - [c78]Xiang Li, Shizhu He, Fangyu Lei, JunYang JunYang, Tianhuang Su, Kang Liu, Jun Zhao:
Teaching Small Language Models to Reason for Knowledge-Intensive Multi-Hop Question Answering. ACL (Findings) 2024: 7804-7816 - [c77]Yuhong He, Yongqi Zhang, Shizhu He, Jun Wan:
BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation. LREC/COLING 2024: 2480-2492 - [c76]Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao:
MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. LREC/COLING 2024: 11475-11485 - [c75]Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Haifeng Liu, Yang jun Jun, Jun Zhao:
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. LREC/COLING 2024: 16539-16549 - [c74]Zhiqi Wang, Shizhu He, Kang Liu, Jun Zhao:
Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization. EMNLP (Findings) 2024: 5699-5708 - [c73]Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu:
Does Large Language Model Contain Task-Specific Neurons? EMNLP 2024: 7101-7113 - [c72]Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu:
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. EMNLP 2024: 13487-13521 - [c71]Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu:
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering. EMNLP 2024: 18410-18430 - [c70]Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao:
Unsupervised Learning of Neural Semantic Mappings with the Hungarian Algorithm for Compositional Semantics. ICASSP 2024: 9971-9975 - [c69]Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao:
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks. ICLR 2024 - [c68]Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu:
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Model. NAACL-HLT 2024: 1259-1286 - [c67]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao:
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. NeurIPS 2024 - [c66]Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Shengping Liu, Kang Liu, Shutao Li, Jun Zhao:
Large Language Models With Holistically Thought Could Be Better Doctors. NLPCC (2) 2024: 319-332 - [i42]Yixuan Weng, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
ControlLM: Crafting Diverse Personalities for Language Models. CoRR abs/2402.10151 (2024) - [i41]Tongxu Luo, Jiahe Lei, Fangyu Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu:
MoELoRA: Contrastive Learning Guided Mixture of Experts on Parameter-Efficient Fine-Tuning for Large Language Models. CoRR abs/2402.12851 (2024) - [i40]Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu:
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. CoRR abs/2403.05130 (2024) - [i39]Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu:
ItD: Large Language Models Can Teach Themselves Induction through Deduction. CoRR abs/2403.05789 (2024) - [i38]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao:
Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models. CoRR abs/2403.15268 (2024) - [i37]Yuhong He, Yongqi Zhang, Shizhu He, Jun Wan:
BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation. CoRR abs/2403.19414 (2024) - [i36]Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Kang Liu, Jun Zhao:
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. CoRR abs/2404.14741 (2024) - [i35]Huanxuan Liao, Yao Xu, Shizhu He, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao:
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions. CoRR abs/2406.12382 (2024) - [i34]Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. CoRR abs/2406.17739 (2024) - [i33]Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao:
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. CoRR abs/2406.18085 (2024) - [i32]Wangtao Sun, Chenxiang Zhang, Xueyou Zhang, Ziyang Huang, Haotian Xu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu:
Beyond Instruction Following: Evaluating Rule Following of Large Language Models. CoRR abs/2407.08440 (2024) - [i31]Huanxuan Liao, Shizhu He, Yupu Hao, Xiang Li, Yuanzhe Zhang, Kang Liu, Jun Zhao:
SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models. CoRR abs/2409.13183 (2024) - [i30]Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao:
Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks. CoRR abs/2409.13203 (2024) - [i29]Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu:
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models. CoRR abs/2410.07331 (2024) - [i28]Yao Xu, Shizhu He, Xiangrong Zeng, Jiabei Chen, Guang Liu, Bingning Wang, Jun Zhao, Kang Liu:
LLaSA: Large Language and Structured Data Assistant. CoRR abs/2411.14460 (2024) - 2023
- [j12]Tianyu Wu, Shizhu He, Jingping Liu, Siqi Sun, Kang Liu, Qing-Long Han, Yang Tang:
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development. IEEE CAA J. Autom. Sinica 10(5): 1122-1136 (2023) - [j11]Qingbin Liu, Shizhu He, Cao Liu, Kang Liu, Jun Zhao:
Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network. J. Comput. Sci. Technol. 38(4): 834-852 (2023) - [j10]Guirong Bai, Qingbin Liu, Shizhu He, Kang Liu, Jun Zhao:
Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision. J. Comput. Sci. Technol. 38(6): 1237-1249 (2023) - [j9]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Bidirectional Sentence Ordering with Interactive Decoding. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 45:1-45:15 (2023) - [c65]Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen:
Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. ACL (Findings) 2023: 293-306 - [c64]Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu:
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. ACL (2) 2023: 1731-1740 - [c63]Yao Xu, Shizhu He, Li Cai, Kang Liu, Jun Zhao:
Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network. ACL (Findings) 2023: 7189-7198 - [c62]Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao Yu, Jun Zhao:
Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints. ACL (Findings) 2023: 7709-7721 - [c61]Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao:
On the Effects of Structural Modeling for Neural Semantic Parsing. CoNLL 2023: 38-57 - [c60]Fei Xia, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
Find Parent then Label Children: A Two-stage Taxonomy Completion Method with Pre-trained Language Model. EACL 2023: 1032-1042 - [c59]Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao:
Large Language Models are Better Reasoners with Self-Verification. EMNLP (Findings) 2023: 2550-2575 - [c58]Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li:
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. EMNLP (Findings) 2023: 4929-4941 - [c57]Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao:
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. EMNLP (Findings) 2023: 11369-11382 - [c56]Zhiyuan Fan, Shizhu He:
Efficient Data Learning for Open Information Extraction with Pre-trained Language Models. EMNLP (Findings) 2023: 13056-13063 - [c55]Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu:
ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. EMNLP (Findings) 2023: 15470-15481 - [c54]Minjun Zhu, Yixuan Weng, Shizhu He, Cunguang Wang, Kang Liu, Li Cai, Jun Zhao:
Learning to Build Reasoning Chains by Reliable Path Retrieval. ICASSP 2023: 1-5 - [c53]Xiang Li, Fangyu Lei, Shizhu He, Kang Liu, Jun Zhao:
Multi-Target Semantic Parsing with Collaborative Deliberation Network. IJCNLP (Findings) 2023: 211-221 - [i27]Yinyu Lan, Shizhu He, Kang Liu, Jun Zhao:
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules. CoRR abs/2301.02781 (2023) - [i26]Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao:
Neural Comprehension: Language Models with Compiled Neural Networks. CoRR abs/2304.01665 (2023) - [i25]Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao:
Large Language Models Need Holistically Thought in Medical Conversational QA. CoRR abs/2305.05410 (2023) - [i24]Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu:
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering. CoRR abs/2305.11725 (2023) - [i23]Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. CoRR abs/2305.14211 (2023) - [i22]Yixuan Weng, Zhiqi Wang, Huanxuan Liao, Shizhu He, Shengping Liu, Kang Liu, Jun Zhao:
LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models. CoRR abs/2308.10252 (2023) - [i21]Weihao Liu, Fangyu Lei, Tongxu Luo, Jiahe Lei, Shizhu He, Jun Zhao, Kang Liu:
MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images. CoRR abs/2309.04790 (2023) - [i20]Tongxu Luo, Fangyu Lei, Jiahe Lei, Weihao Liu, Shizhu He, Jun Zhao, Kang Liu:
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering. CoRR abs/2309.12669 (2023) - [i19]Yao Xu, Shizhu He, Cunguang Wang, Li Cai, Kang Liu, Jun Zhao:
Query2Triple: Unified Query Encoding for Answering Diverse Complex Queries over Knowledge Graphs. CoRR abs/2310.11246 (2023) - [i18]Zhiyuan Fan, Shizhu He:
Efficient Data Learning for Open Information Extraction with Pre-trained Language Models. CoRR abs/2310.15021 (2023) - [i17]Fangyu Lei, Tongxu Luo, Pengqi Yang, Weihao Liu, Hanwen Liu, Jiahe Lei, Yiming Huang, Yifan Wei, Shizhu He, Jun Zhao, Kang Liu:
TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering. CoRR abs/2310.15075 (2023) - [i16]Fangyu Lei, Qian Liu, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu:
S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models. CoRR abs/2310.15147 (2023) - [i15]Qianren Mao, Shaobo Zhao, Jiarui Li, Xiaolei Gu, Shizhu He, Bo Li, Jianxin Li:
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders. CoRR abs/2310.18992 (2023) - [i14]Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu:
ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook. CoRR abs/2311.07032 (2023) - 2022
- [j8]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Example-guided stylized response generation in zero-shot setting. Sci. China Inf. Sci. 65(4) (2022) - [j7]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 42:1-42:19 (2022) - [j6]Qianren Mao, Jianxin Li, Hao Peng, Shizhu He, Lihong Wang, Philip S. Yu, Zheng Wang:
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1665-1678 (2022) - [c52]Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He:
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. SDU@AAAI 2022 - [c51]Fei Xia, Bin Li, Yixuan Weng, Xiusheng Huang, Shizhu He:
ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion. SDU@AAAI 2022 - [c50]Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu:
Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing. ACL (2) 2022: 283-289 - [c49]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Incremental Intent Detection for Medical Domain with Contrast Replay Networks. ACL (Findings) 2022: 3549-3556 - [c48]Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
Learning to Answer Complex Visual Questions from Multi-View Analysis. CCKS (Evaluation Track) 2022: 154-162 - [c47]Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu:
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. COLING 2022: 1379-1390 - [c46]Ran Song, Shizhu He, Suncong Zheng, Shengxiang Gao, Kang Liu, Zhengtao Yu, Jun Zhao:
Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts. COLING 2022: 2237-2246 - [c45]Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao:
MedConQA: Medical Conversational Question Answering System based on Knowledge Graphs. EMNLP (Demos) 2022: 148-158 - [c44]Bin Li, Yixuan Weng, Fei Xia, Shizhu He, Bin Sun, Shutao Li:
LingJing at SemEval-2022 Task 1: Multi-task Self-supervised Pre-training for Multilingual Reverse Dictionary. SemEval@NAACL 2022: 29-35 - [c43]Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Bin Sun, Shutao Li, Kang Liu, Jun Zhao:
LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer. SemEval@NAACL 2022: 239-246 - [i13]Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li, Jun Zhao:
LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs. CoRR abs/2204.09220 (2022) - [i12]Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu:
Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder. CoRR abs/2209.07692 (2022) - [i11]Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao:
ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains. CoRR abs/2210.08763 (2022) - [i10]Yixuan Weng, Minjun Zhu, Shizhu He, Kang Liu, Jun Zhao:
Large Language Models are reasoners with Self-Verification. CoRR abs/2212.09561 (2022) - 2021
- [j5]Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
A Unified Shared-Private Network with Denoising for Dialogue State Tracking. J. Comput. Sci. Technol. 36(6): 1407-1419 (2021) - [j4]Qingbin Liu, Guirong Bai, Shizhu He, Cao Liu, Kang Liu, Jun Zhao:
Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue. Knowl. Based Syst. 227: 107186 (2021) - [j3]Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu, Jun Zhao:
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. BMC Medical Informatics Decis. Mak. 21-S(9): 335 (2021) - [c42]Fei Xia, Yixuan Weng, Maojin Xia, Qiang Yu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Does BERT Know Which Answer Beyond the Question? CCKS (Evaluation Track) 2021: 69-81 - [c41]Fei Xia, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances. CCKS 2021: 198-210 - [c40]Xiaoyan Yu, Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao, Yongbin Zhou:
Multi-strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension. CCL 2021: 209-225 - [c39]Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao:
Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks. EMNLP (1) 2021: 2301-2311 - [e2]Sheng Li, Maosong Sun, Yang Liu, Hua Wu, Kang Liu, Wanxiang Che, Shizhu He, Gaoqi Rao:
Chinese Computational Linguistics - 20th China National Conference, CCL 2021, Hohhot, China, August 13-15, 2021, Proceedings. Lecture Notes in Computer Science 12869, Springer 2021, ISBN 978-3-030-84185-0 [contents] - [i9]Yinyu Lan, Shizhu He, Xiangrong Zeng, Shengping Liu, Kang Liu, Jun Zhao:
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion. CoRR abs/2105.13074 (2021) - [i8]Qingbin Liu, Xiaoyan Yu, Shizhu He, Kang Liu, Jun Zhao:
Lifelong Intent Detection via Multi-Strategy Rebalancing. CoRR abs/2108.04445 (2021) - [i7]Yixuan Weng, Fei Xia, Bin Li, Xiusheng Huang, Shizhu He, Kang Liu, Jun Zhao:
ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing. CoRR abs/2112.08991 (2021) - 2020
- [c38]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie:
Pre-trained Language Model Based Active Learning for Sentence Matching. COLING 2020: 1495-1504 - [e1]Maosong Sun, Sujian Li, Yue Zhang, Yang Liu, Shizhu He, Gaoqi Rao:
Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30 - November 1, 2020, Proceedings. Lecture Notes in Computer Science 12522, Springer 2020, ISBN 978-3-030-63030-0 [contents] - [i6]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie:
Pre-trained Language Model Based Active Learning for Sentence Matching. CoRR abs/2010.05522 (2020)
2010 – 2019
- 2019
- [c37]Shizhu He, Kang Liu, Weiting An:
Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks. AAAI 2019: 134-141 - [c36]Cao Liu, Shizhu He, Kang Liu, Jun Zhao:
Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation. ACL (1) 2019: 3774-3783 - [c35]Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao:
AdaNSP: Uncertainty-driven Adaptive Decoding in Neural Semantic Parsing. ACL (1) 2019: 4265-4270 - [c34]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Utterance Alignment in Custom Service by Integer Programming. CCL 2019: 703-714 - [c33]Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. CoNLL 2019: 718-727 - [c32]Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao:
Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning. EMNLP/IJCNLP (1) 2019: 367-377 - [c31]Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. EMNLP/IJCNLP (1) 2019: 2431-2441 - [c30]Guirong Bai, Shizhu He, Kang Liu, Jun Zhao:
Variational Attention for Commonsense Knowledge Aware Conversation Generation. NLPCC (1) 2019: 3-15 - [i5]Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking. CoRR abs/1908.07705 (2019) - [i4]Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots. CoRR abs/1910.13106 (2019) - [i3]Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao:
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss. CoRR abs/1910.13108 (2019) - 2018
- [c29]Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao:
Large Scaled Relation Extraction With Reinforcement Learning. AAAI 2018: 5658-5665 - [c28]Xiangrong Zeng, Daojian Zeng, Shizhu He, Kang Liu, Jun Zhao:
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism. ACL (1) 2018: 506-514 - [c27]Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
Learning to Detect Verbose Expressions in Spoken Texts. CCL 2018: 363-375 - [c26]Yanchao Hao, Hao Liu, Shizhu He, Kang Liu, Jun Zhao:
Pattern-revising Enhanced Simple Question Answering over Knowledge Bases. COLING 2018: 3272-3282 - [c25]Cao Liu, Shizhu He, Kang Liu, Jun Zhao:
Curriculum Learning for Natural Answer Generation. IJCAI 2018: 4223-4229 - 2017
- [c24]Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao:
Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions. AAAI 2017: 3060-3066 - [c23]Shizhu He, Cao Liu, Kang Liu, Jun Zhao:
Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning. ACL (1) 2017: 199-208 - [c22]Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu, Jun Zhao:
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge. ACL (1) 2017: 221-231 - [c21]Cao Liu, Shizhu He, Hang Yang, Kang Liu, Jun Zhao:
Unsupervised Joint Entity Linking over Question Answering Pair with Global Knowledge. CCL 2017: 273-286 - [c20]Shangmin Guo, Xiangrong Zeng, Shizhu He, Kang Liu, Jun Zhao:
Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks? EACL (1) 2017: 111-120 - [c19]Shangmin Guo, Kang Liu, Shizhu He, Cao Liu, Jun Zhao, Zhuoyu Wei:
IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations. IJCNLP (Shared Tasks) 2017: 34-40 - 2016
- [j2]Siwei Lai, Kang Liu, Shizhu He, Jun Zhao:
How to Generate a Good Word Embedding. IEEE Intell. Syst. 31(6): 5-14 (2016) - [c18]Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao:
Knowledge Graph Completion with Adaptive Sparse Transfer Matrix. AAAI 2016: 985-991 - [c17]Shulin Liu, Kang Liu, Shizhu He, Jun Zhao:
A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification. AAAI 2016: 2993-2999 - [c16]Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao:
A Joint Model for Question Answering over Multiple Knowledge Bases. AAAI 2016: 3094-3100 - [c15]Shulin Liu, Yubo Chen, Shizhu He, Kang Liu, Jun Zhao:
Leveraging FrameNet to Improve Automatic Event Detection. ACL (1) 2016 - [c14]Yanchao Hao, Yuanzhe Zhang, Shizhu He, Kang Liu, Jun Zhao:
A Joint Embedding Method for Entity Alignment of Knowledge Bases. CCKS 2016: 3-14 - [c13]Zhuoyu Wei, Jun Zhao, Kang Liu, Shizhu He:
Link Prediction via Mining Markov Logic Formulas to Improve Social Recommendation. CCKS 2016: 133-145 - [c12]Yubo Chen, Shulin Liu, Shizhu He, Kang Liu, Jun Zhao:
Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks. CCL 2016: 190-203 - [c11]Xuepeng Wang, Kang Liu, Shizhu He, Jun Zhao:
Learning to Represent Review with Tensor Decomposition for Spam Detection. EMNLP 2016: 866-875 - [c10]Bingning Wang, Shangmin Guo, Kang Liu, Shizhu He, Jun Zhao:
Employing External Rich Knowledge for Machine Comprehension. IJCAI 2016: 2929-2925 - [i2]Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao:
Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information. CoRR abs/1606.00979 (2016) - 2015
- [j1]Kang Liu, Jun Zhao, Shizhu He, Yuanzhe Zhang:
Question Answering over Knowledge Bases. IEEE Intell. Syst. 30(5): 26-35 (2015) - [c9]Guoliang Ji, Shizhu He, Liheng Xu, Kang Liu, Jun Zhao:
Knowledge Graph Embedding via Dynamic Mapping Matrix. ACL (1) 2015: 687-696 - [c8]Shizhu He, Kang Liu, Guoliang Ji, Jun Zhao:
Learning to Represent Knowledge Graphs with Gaussian Embedding. CIKM 2015: 623-632 - 2014
- [c7]Shizhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao:
CASIA@V2: A MLN-based Question Answering System over Linked Data. CLEF (Working Notes) 2014: 1249-1259 - [c6]Yuanzhe Zhang, Xuepeng Wang, Siwei Lai, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv:
Ontology Matching with Word Embeddings. CCL 2014: 34-45 - [c5]Shizhu He, Kang Liu, Yuanzhe Zhang, Liheng Xu, Jun Zhao:
Question Answering over Linked Data Using First-order Logic. EMNLP 2014: 1092-1103 - 2013
- [c4]Guangyou Zhou, Fang Liu, Yang Liu, Shizhu He, Jun Zhao:
Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization. ACL (1) 2013: 852-861 - [c3]Fang Liu, Shizhu He, Shulin Liu, Guangyou Zhou, Kang Liu, Jun Zhao:
Open Relation Mapping Based on Instances and Semantics Expansion. AIRS 2013: 320-331 - [c2]Shizhu He, Shulin Liu, Yubo Chen, Guangyou Zhou, Kang Liu, Jun Zhao:
CASIA@QALD-3: A Question Answering System over Linked Data. CLEF (Working Notes) 2013 - [c1]Yuanzhe Zhang, Xuepeng Wang, Shizhu He, Kang Liu, Jun Zhao, Xueqiang Lv:
IAMA results for OAEI 2013. OM 2013: 123-130 - [i1]Yubo Chen, Guangyou Zhou, Liheng Xu, Shizhu He, Kang Liu, Jun Zhao:
The CASIA Entity linking System at TAC 2013. TAC 2013
Coauthor Index
[c81] [c80] [i43] [j14] [j13] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [i42] [i41] [i40] [i39] [i38] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [j12] [j11] [j10] [j9] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c57] [c55] [c54] [c53] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i17] [i16] [i14] [j8] [j7] [c50] [c49] [c48] [c47] [c46] [c45] [c43] [i13] [i12] [i11] [i10] [j5] [j4] [j3] [c42] [c41] [c40] [c39] [e2] [i9] [i8] [i7] [c38] [i6] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [i5] [i4] [i3] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j2] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [i2] [j1] [c9] [c8] [c7] [c6] [c5] [c3] [c2] [c1] [i1]
[c81] [c80] [i43] [j13] [c79] [c78] [c76] [c75] [c74] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [i42] [i41] [i40] [i39] [i38] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [j11] [j10] [j9] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c57] [c55] [c54] [c53] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i17] [i16] [i14] [j8] [j7] [c50] [c49] [c48] [c47] [c46] [c45] [c43] [i13] [i12] [i11] [i10] [j5] [j4] [j3] [c42] [c41] [c40] [c39] [i9] [i8] [i7] [c38] [i6] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [i5] [i4] [i3] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j2] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [i2] [j1] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [i1]
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