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ORCIDJun Zhao 0001
赵军
Person information
- unicode name: 赵军
- affiliation: Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Other persons with the same name
- Jun Zhao — disambiguation page
- Jun Zhao 0002
![[0000-0001-9096-103X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9096-103X")
— Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (and 1 more) - Jun Zhao 0003 — Oxford University, Department of Computer Science, UK (and 3 more)
- Jun Zhao 0004 — Dalian University of Technology, School of Control Science and Engineering, China
- Jun Zhao 0005 — Lattice Semiconductor (and 1 more)
- Jun Zhao 0006 — University of Minnesota, Institute for Mathematics and its Applications (and 1 more)
- Jun Zhao 0007 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Jun Zhao 0008 — Zhejiang University, State Key Lab of Industrial Control Technolog
- Jun Zhao 0009 — Zhejiang University, Zhejiang Key Laboratory of Service Robots
- Jun Zhao 0010 — Shanghai Jiaotong University, Department of Biomedical Engineering, China
- Jun Zhao 0011 — Shandong University, School of Mechanical Engineering
- Jun Zhao 0012 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Jun Zhao 0013 — Masdar Institute of Science and Technology, Masdar City, UAE
- Jun Zhao 0014 — Northwest Normal University, College of Geography and Environment Sciences, Lanzhou, China
- Jun Zhao 0015 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, Kunming, China
- Jun Zhao 0016 (aka: Jun Raymond Zhao) — Jet.com/Walmart Labs, Hoboken, NJ, USA
- Jun Zhao 0017 — Beihang University, School of Computer Science and Engineering, China
- Jun Zhao 0018 — Tongji University, College of Electronic and Information Engineering, Shanghai, China (and 1 more)
- Jun Zhao 0019 — Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, China
- Jun Zhao 0020 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Jun Zhao 0021 — Southeast University, School of Electronics Science and Engineering, National and Local Joint Engineering Research Center for Optical Sensing/Communications Integrated Networking, Nanjing, China (and 1 more)
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2020 – today
- 2024
[j29]Xiang Li, Yu-Ning Li, Li-Xin Zhang, Jun Zhao:
Inference for high-dimensional linear expectile regression with de-biasing method. Comput. Stat. Data Anal. 198: 107997 (2024)- [j28]Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Information bottleneck based knowledge selection for commonsense reasoning. Inf. Sci. 660: 120134 (2024) - [j27]Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu:
Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(2): 32:1-32:19 (2024) - [j26]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) - [j25]Dianbo Sui, Xiangrong Zeng, Yubo Chen, Kang Liu, Jun Zhao:
Joint Entity and Relation Extraction With Set Prediction Networks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12784-12795 (2024) - [c265]Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons. AAAI 2024: 17817-17825 - [c264]Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao:
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models. ACL (Findings) 2024: 1193-1215 - [c263]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 - [c262]Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu:
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. ACL (1) 2024: 3268-3281 - [c261]Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. ACL (Findings) 2024: 3476-3503 - [c260]Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu:
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint. ACL (Findings) 2024: 3903-3922 - [c259]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 - [c258]Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning. ACL (1) 2024: 9206-9230 - [c257]Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
MULFE: A Multi-Level Benchmark for Free Text Model Editing. ACL (1) 2024: 13570-13587 - [c256]Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. CIKM 2024: 4118-4122 - [c255]Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao:
Continual Few-shot Event Detection via Hierarchical Augmentation Networks. LREC/COLING 2024: 3868-3880 - [c254]Chenhao Wang, Pengfei Cao, Jiachun Li, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao:
Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering. LREC/COLING 2024: 10303-10315 - [c253]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 - [c252]Shaoru Guo, Yubo Chen, Kang Liu, Ru Li, Jun Zhao:
NutFrame: Frame-based Conceptual Structure Induction with LLMs. LREC/COLING 2024: 12330-12335 - [c251]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 - [c250]Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao:
Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. LREC/COLING 2024: 16867-16878 - [c249]Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao:
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. LREC/COLING 2024: 17833-17850 - [c248]Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu:
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. EMNLP 2024: 1354-1365 - [c247]Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models. EMNLP 2024: 2670-2683 - [c246]Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models. EMNLP 2024: 7713-7724 - [c245]Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao:
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning. EMNLP (Findings) 2024: 8886-8905 - [c244]Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Kang Liu, Jun Zhao:
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation. EMNLP (Findings) 2024: 9399-9416 - [c243]Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu:
ABSEval: An Agent-based Framework for Script Evaluation. EMNLP 2024: 12418-12434 - [c242]Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu:
Commonsense Knowledge Editing Based on Free-Text in LLMs. EMNLP 2024: 14870-14880 - [c241]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 - [c240]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 - [c239]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 - [c238]Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao:
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. IJCAI 2024: 8855-8859 - [c237]Pengfan Du, Sirui Liang, Baoli Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models. NAACL (Demonstrations) 2024: 194-206 - [c236]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 - [c235]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 - [i92]Jiaxiang Liu, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao:
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering. CoRR abs/2402.09911 (2024) - [i91]Yixuan Weng, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao:
ControlLM: Crafting Diverse Personalities for Language Models. CoRR abs/2402.10151 (2024) - [i90]Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. CoRR abs/2402.10987 (2024) - [i89]Xiaowei Yuan, Zhao Yang, Yequan Wang, Shengping Liu, Jun Zhao, Kang Liu:
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint. CoRR abs/2402.11893 (2024) - [i88]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) - [i87]Yuheng Chen, Pengfei Cao, Yubo Chen, Yining Wang, Shengping Liu, Kang Liu, Jun Zhao:
The Da Vinci Code of Large Pre-trained Language Models: Deciphering Degenerate Knowledge Neurons. CoRR abs/2402.13731 (2024) - [i86]Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao:
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. CoRR abs/2402.14409 (2024) - [i85]Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao:
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models. CoRR abs/2402.18154 (2024) - [i84]Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning. CoRR abs/2402.18344 (2024) - [i83]Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao:
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models. CoRR abs/2402.19103 (2024) - [i82]Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao:
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. CoRR abs/2403.02893 (2024) - [i81]Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao:
SimuCourt: Building Judicial Decision-Making Agents with Real-world Judgement Documents. CoRR abs/2403.02959 (2024) - [i80]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) - [i79]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) - [i78]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) - [i77]Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao:
Continual Few-shot Event Detection via Hierarchical Augmentation Networks. CoRR abs/2403.17733 (2024) - [i76]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) - [i75]Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Knowledge Localization: Mission Not Accomplished? Enter Query Localization! CoRR abs/2405.14117 (2024) - [i74]Jiachun Li, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Towards Faithful Chain-of-Thought: Large Language Models are Bridging Reasoners. CoRR abs/2405.18915 (2024) - [i73]Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao:
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. CoRR abs/2406.10890 (2024) - [i72]Jiakuan Xie, Pengfei Cao, Yuheng Chen, Yubo Chen, Kang Liu, Jun Zhao:
MEMLA: Enhancing Multilingual Knowledge Editing with Neuron-Masked Low-Rank Adaptation. CoRR abs/2406.11566 (2024) - [i71]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) - [i70]Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu, Jun Zhao:
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models. CoRR abs/2406.12416 (2024) - [i69]Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu:
Improving Zero-shot LLM Re-Ranker with Risk Minimization. CoRR abs/2406.13331 (2024) - [i68]Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models. CoRR abs/2406.16033 (2024) - [i67]Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao:
CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph. CoRR abs/2406.17231 (2024) - [i66]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) - [i65]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) - [i64]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) - [i63]Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. CoRR abs/2408.07413 (2024) - [i62]Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models. CoRR abs/2408.10682 (2024) - [i61]Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu:
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. CoRR abs/2408.12194 (2024) - [i60]Yifan Wei, Xiaoyan Yu, Yixuan Weng, Huanhuan Ma, Yuanzhe Zhang, Jun Zhao, Kang Liu:
Does Knowledge Localization Hold True? Surprising Differences Between Entity and Relation Perspectives in Language Models. CoRR abs/2409.00617 (2024) - [i59]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) - [i58]Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao:
CITI: Enhancing Tool Utilizing Ability in Large Language Models without Sacrificing General Performance. CoRR abs/2409.13202 (2024) - [i57]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) - [i56]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) - [i55]Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao:
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning. CoRR abs/2410.09541 (2024) - [i54]Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models. CoRR abs/2410.09542 (2024) - [i53]Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns. CoRR abs/2410.16155 (2024) - 2023
- [j24]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) - [j23]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) - [j22]Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Zuyu Zhao, Weijian Sun:
Multi-Turn and Multi-Granularity Reader for Document-Level Event Extraction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 34:1-34:16 (2023) - [j21]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) - [j20]Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao:
Script Event Prediction via Multilingual Event Graph Networks. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(2): 54:1-54:17 (2023) - [c234]Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao:
Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning. AAAI 2023: 12589-12597 - [c233]Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao:
Event Process Typing via Hierarchical Optimal Transport. AAAI 2023: 14038-14046 - [c232]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 - [c231]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 - [c230]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 - [c229]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jiansong Chen, Jun Zhao, Kang Liu:
Interpreting Sentiment Composition with Latent Semantic Tree. ACL (Findings) 2023: 7464-7478 - [c228]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 - [c227]Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, Jun Zhao:
EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata. ACL (Findings) 2023: 10038-10052 - [c226]Yiming Ju, Yuanzhe Zhang, Kang Liu, Jun Zhao:
A Hierarchical Explanation Generation Method Based on Feature Interaction Detection. ACL (Findings) 2023: 12600-12611 - [c225]Xiang Zhang, Shizhu He, Kang Liu, Jun Zhao:
On the Effects of Structural Modeling for Neural Semantic Parsing. CoNLL 2023: 38-57 - [c224]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 - [c223]Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao:
Event Ontology Completion with Hierarchical Structure Evolution Networks. EMNLP 2023: 306-320 - [c222]Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao:
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. EMNLP (Demos) 2023: 479-494 - [c221]Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu:
MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models. EMNLP (Findings) 2023: 1434-1447 - [c220]Zhongtao Jiang, Yuanzhe Zhang, Cao Liu, Jun Zhao, Kang Liu:
Generative Calibration for In-context Learning. EMNLP (Findings) 2023: 2312-2333 - [c219]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 - [c218]Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao:
Complex Event Schema Induction with Knowledge-Enriched Diffusion Model. EMNLP (Findings) 2023: 4809-4825 - [c217]Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao, Kang Liu:
Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process. EMNLP 2023: 5443-5456 - [c216]Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao:
InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models. EMNLP (Findings) 2023: 6649-6675 - [c215]Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao:
LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. EMNLP (Findings) 2023: 9142-9163 - [c214]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 - [c213]Ziyang Huang, Pengfei Cao, Jun Zhao, Kang Liu:
DiffusionSL: Sequence Labeling via Tag Diffusion Process. EMNLP (Findings) 2023: 12902-12920 - [c212]Zhuoran Jin, Pengfei Cao, Zhitao He, Yubo Chen, Kang Liu, Jun Zhao:
Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching. EMNLP (Findings) 2023: 14616-14637 - [c211]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 - [c210]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 - [c209]Xiang Li, Fangyu Lei, Shizhu He, Kang Liu, Jun Zhao:
Multi-Target Semantic Parsing with Collaborative Deliberation Network. IJCNLP (Findings) 2023: 211-221 - [c208]Jiachun Li, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao:
What Events Do Pre-trained Language Models Learn from Text? Probing Event-Based Commonsense Knowledge by Confidence Sorting. NLPCC (1) 2023: 669-681 - [c207]Chenhao Wang, Shaoru Guo, Zhitao He, Zhipeng Xue, Yubo Chen, Kang Liu, Jun Zhao:
CogNet2: A Multi-Level Frame Organized Knowledge Base Integrating Linguistic, World and Commonsense Knowledge. ISWC (Posters/Demos/Industry) 2023 - [i52]Yinyu Lan, Shizhu He, Kang Liu, Jun Zhao:
Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules. CoRR abs/2301.02781 (2023) - [i51]Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li,