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ORCIDLiang Pang 0001
庞亮
Person information
- unicode name: 庞亮
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation (PhD 2018): University of Chinese Academy of Sciences (UCAS), Beijing, China
Other persons with the same name
- Liang Pang — disambiguation page
- Liang Pang 0002
![[0000-0002-1535-8975]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1535-8975")
— Southeast University, National ASIC Center, Nanjing, China (and 1 more) - Liang Pang 0003 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China
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2020 – today
- 2025
[c78]Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai:
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. AAAI 2025: 23424-23432- [c77]Yujing Wang, Hainan Zhang, Liang Pang, Binghui Guo, Hongwei Zheng, Zhiming Zheng:
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models. AAAI 2025: 25434-25442 - [c76]Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng:
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. ACL (1) 2025: 17876-17891 - [c75]Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. COLING 2025: 4457-4473 - [c74]Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng:
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. COLING 2025: 5375-5390 - [c73]Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. ICLR 2025 - [c72]Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models. ICLR 2025 - [c71]Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. ICLR 2025 - [c70]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation. ICLR 2025 - [c69]Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng:
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. ICLR 2025 - [c68]Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu:
Mitigating Source Bias with LLM Alignment. SIGIR 2025: 370-380 - [c67]Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke:
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. SIGIR 2025: 539-548 - [c66]Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. SIGIR 2025: 1676-1686 - [c65]Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua:
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. SIGIR 2025: 3922-3931 - [c64]Yang Deng, Moxin Li, Liang Pang, Wenxuan Zhang, Wai Lam:
Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access. SIGIR 2025: 4086-4089 - [c63]Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era. WSDM 2025: 998-1001 - [i92]Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng:
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. CoRR abs/2502.07327 (2025) - [i91]Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. CoRR abs/2502.09319 (2025) - [i90]Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Huawei Shen, Xueqi Cheng:
Revisiting Robust RAG: Do We Still Need Complex Robust Training in the Era of Powerful LLMs? CoRR abs/2502.11400 (2025) - [i89]Jingcheng Deng, Zhongtao Jiang, Liang Pang, Liwei Chen, Kun Xu, Zihao Wei, Huawei Shen, Xueqi Cheng:
Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. CoRR abs/2502.11401 (2025) - [i88]Hanxing Ding, Shuchang Tao, Liang Pang, Zihao Wei, Jinyang Gao, Bolin Ding, Huawei Shen, Xueqi Cheng:
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models. CoRR abs/2502.11404 (2025) - [i87]Qianchi Zhang, Hainan Zhang, Liang Pang, Hongwei Zheng, Yongxin Tong, Zhiming Zheng:
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models. CoRR abs/2502.11811 (2025) - [i86]Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents. CoRR abs/2503.08684 (2025) - [i85]Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai:
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. CoRR abs/2504.03137 (2025) - [i84]Yujing Wang, Hainan Zhang, Liang Pang, Yongxin Tong, Binghui Guo, Hongwei Zheng, Zhiming Zheng:
Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models. CoRR abs/2504.09910 (2025) - [i83]Chen Xu, Jujia Zhao, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua, Maarten de Rijke:
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics. CoRR abs/2504.14991 (2025) - [i82]Sunhao Dai, Wenjie Wang, Liang Pang, Jun Xu, See-Kiong Ng, Ji-Rong Wen, Tat-Seng Chua:
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search. CoRR abs/2505.14680 (2025) - [i81]Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng:
Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning. CoRR abs/2505.16142 (2025) - [i80]Zenghao Duan, Zhiyi Yin, Zhichao Shi, Liang Pang, Shaoling Jing, Jiayi Wu, Yu Yan, Huawei Shen, Xueqi Cheng:
GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace. CoRR abs/2505.17078 (2025) - [i79]Shicheng Xu, Xin Huang, Zihao Wei, Liang Pang, Huawei Shen, Xueqi Cheng:
Reverse Physician-AI Relationship: Full-process Clinical Diagnosis Driven by a Large Language Model. CoRR abs/2508.10492 (2025) - [i78]Zihao Wei, Liang Pang, Jiahao Liu, Jingcheng Deng, Shicheng Xu, Zenghao Duan, Jingang Wang, Fei Sun, Xunliang Cai, Huawei Shen, Xueqi Cheng:
Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit. CoRR abs/2508.17627 (2025) - [i77]Jinwen Chen, Hainan Zhang, Liang Pang, Yongxin Tong, Haibo Zhou, Yuan Zhan, Wei Lin, Zhiming Zheng:
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation. CoRR abs/2509.01088 (2025) - 2024
- [j8]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. ACM Trans. Inf. Syst. 42(2): 57:1-57:32 (2024) - [j7]Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. ACM Trans. Inf. Syst. 42(5): 123:1-123:29 (2024) - [c62]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. ACL (1) 2024: 133-145 - [c61]Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Plot Retrieval as an Assessment of Abstract Semantic Association. ACL (Student Research Workshop) 2024: 146-161 - [c60]Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin:
Beyond Memorization: The Challenge of Random Memory Access in Language Models. ACL (1) 2024: 3373-3388 - [c59]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. ACL (Findings) 2024: 7052-7074 - [c58]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. LREC/COLING 2024: 13407-13418 - [c57]Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, Yueting Zhuang:
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data. CVPR 2024: 12944-12953 - [c56]Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua:
A Study of Implicit Ranking Unfairness in Large Language Models. EMNLP (Findings) 2024: 7957-7970 - [c55]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. EMNLP 2024: 14131-14143 - [c54]Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu:
Neural Retrievers are Biased Towards LLM-Generated Content. KDD 2024: 526-537 - [c53]Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era. KDD 2024: 6437-6447 - [c52]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. ICMR 2024: 394-403 - [c51]Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. ACM Multimedia 2024: 846-855 - [c50]Minghe Gao, Juncheng Li, Hao Fei, Liang Pang, Wei Ji, Guoming Wang, Zheqi Lv, Wenqiao Zhang, Siliang Tang, Yueting Zhuang:
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. ACM Multimedia 2024: 7649-7657 - [c49]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. NAACL-HLT (Findings) 2024: 3925-3951 - [c48]Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua:
Information-Controllable Graph Contrastive Learning for Recommendation. RecSys 2024: 528-537 - [c47]Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng:
Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images. SIGIR 2024: 208-217 - [c46]Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
A Taxation Perspective for Fair Re-ranking. SIGIR 2024: 1494-1503 - [c45]Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. WWW 2024: 1330-1340 - [c44]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW 2024: 1362-1373 - [c43]Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang:
Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW 2024: 3876-3887 - [i76]Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. CoRR abs/2402.02764 (2024) - [i75]Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng:
Retrieve Only When It Needs: Adaptive Retrieval Augmentation for Hallucination Mitigation in Large Language Models. CoRR abs/2402.10612 (2024) - [i74]Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng:
Stable Knowledge Editing in Large Language Models. CoRR abs/2402.13048 (2024) - [i73]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Event-aware Video Corpus Moment Retrieval. CoRR abs/2402.13566 (2024) - [i72]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. CoRR abs/2402.13576 (2024) - [i71]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. CoRR abs/2402.14272 (2024) - [i70]Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang:
GraphEdit: Large Language Models for Graph Structure Learning. CoRR abs/2402.15183 (2024) - [i69]Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. CoRR abs/2402.18150 (2024) - [i68]Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang:
Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR abs/2403.04260 (2024) - [i67]Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin:
Beyond Memorization: The Challenge of Random Memory Access in Language Models. CoRR abs/2403.07805 (2024) - [i66]Junkai Zhou, Liang Pang, Ya Jing, Jia Gu, Huawei Shen, Xueqi Cheng:
Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent. CoRR abs/2403.19275 (2024) - [i65]Zihao Wei, Jingcheng Deng, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models. CoRR abs/2404.04990 (2024) - [i64]Jia Gu, Liang Pang, Huawei Shen, Xueqi Cheng:
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation. CoRR abs/2404.09043 (2024) - [i63]Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. CoRR abs/2404.11129 (2024) - [i62]Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu:
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models. CoRR abs/2404.11457 (2024) - [i61]Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR abs/2404.16924 (2024) - [i60]Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
A Taxation Perspective for Fair Re-ranking. CoRR abs/2404.17826 (2024) - [i59]Jingcheng Deng, Zihao Wei, Liang Pang, Hanxing Ding, Huawei Shen, Xueqi Cheng:
UnKE: Unstructured Knowledge Editing in Large Language Models. CoRR abs/2405.15349 (2024) - [i58]Sunhao Dai, Weihao Liu, Yuqi Zhou, Liang Pang, Rongju Ruan, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration. CoRR abs/2405.16546 (2024) - [i57]Yuqi Zhou, Sunhao Dai, Liang Pang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen:
Source Echo Chamber: Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop. CoRR abs/2405.17998 (2024) - [i56]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Unveil the Duality of Retrieval-Augmented Generation: Theoretical Analysis and Practical Solution. CoRR abs/2406.00944 (2024) - [i55]Yujing Wang, Hainan Zhang, Liang Pang, Binghui Guo, Hongwei Zheng, Zhiming Zheng:
MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models. CoRR abs/2408.17072 (2024) - [i54]Qianchi Zhang, Hainan Zhang, Liang Pang, Hongwei Zheng, Zhiming Zheng:
AdaComp: Extractive Context Compression with Adaptive Predictor for Retrieval-Augmented Large Language Models. CoRR abs/2409.01579 (2024) - [i53]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. CoRR abs/2410.01285 (2024) - [i52]Shicheng Xu, Liang Pang, Yunchang Zhu, Huawei Shen, Xueqi Cheng:
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models. CoRR abs/2410.12662 (2024) - 2023
- [j6]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Reasoning: From State to Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11352-11364 (2023) - [c42]Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He:
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. AAAI 2023: 13255-13263 - [c41]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. ACL (1) 2023: 6620-6635 - [c40]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. ACL (1) 2023: 9945-9959 - [c39]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Third Party Large Language Models Generated Text Detection Tool. EMNLP (Findings) 2023: 2113-2133 - [c38]Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng:
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. EMNLP (Findings) 2023: 2500-2510 - [c37]Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. EMNLP (Findings) 2023: 4424-4436 - [i51]Yunchang Zhu, Liang Pang, Kangxi Wu, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding. CoRR abs/2301.03765 (2023) - [i50]Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Multi-video Moment Ranking with Multimodal Clue. CoRR abs/2301.13606 (2023) - [i49]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks. CoRR abs/2304.14732 (2023) - [i48]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Reasoning: from State to Transformation. CoRR abs/2305.01668 (2023) - [i47]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Transformation Telling. CoRR abs/2305.01928 (2023) - [i46]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval. CoRR abs/2305.11052 (2023) - [i45]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation. CoRR abs/2305.11130 (2023) - [i44]Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. CoRR abs/2305.12785 (2023) - [i43]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Large Language Models Detection Tool. CoRR abs/2305.15004 (2023) - [i42]Jingcheng Deng, Liang Pang, Huawei Shen, Xueqi Cheng:
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling. CoRR abs/2310.10567 (2023) - [i41]Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu:
LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts. CoRR abs/2310.20501 (2023) - [i40]Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou:
Plot Retrieval as an Assessment of Abstract Semantic Association. CoRR abs/2311.01666 (2023) - [i39]Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua:
Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. CoRR abs/2311.07054 (2023) - [i38]Junkai Zhou, Liang Pang, Huawei Shen, Xueqi Cheng:
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue. CoRR abs/2311.07445 (2023) - [i37]Minghe Gao, Juncheng Li, Hao Fei, Liang Pang, Wei Ji, Guoming Wang, Wenqiao Zhang, Siliang Tang, Yueting Zhuang:
De-fine: Decomposing and Refining Visual Programs with Auto-Feedback. CoRR abs/2311.12890 (2023) - [i36]Qifan Yu, Juncheng Li, Longhui Wei, Liang Pang, Wentao Ye, Bosheng Qin, Siliang Tang, Qi Tian, Yueting Zhuang:
HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data. CoRR abs/2311.13614 (2023) - [i35]Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng:
AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval. CoRR abs/2311.14084 (2023) - [i34]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua:
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR abs/2312.01052 (2023) - 2022
- [j5]Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Ji-Rong Wen:
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. IEEE ACM Trans. Audio Speech Lang. Process. 30: 721-733 (2022) - [c36]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. CIKM 2022: 2290-2300 - [c35]Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen:
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING 2022: 2363-2373 - [c34]Dan Yang Hou, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Region-based Cross-modal Retrieval. IJCNN 2022: 1-8 - [c33]Bolin Zhang, Bin Jiang, Chao Yang, Liang Pang:
Dual-Channel Localization Networks for Moment Retrieval with Natural Language. ICMR 2022: 351-359 - [c32]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. SIGIR 2022: 825-836 - [i33]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. CoRR abs/2204.02725 (2022) - [i32]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. CoRR abs/2204.11545 (2022) - [i31]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework. CoRR abs/2212.00229 (2022) - 2021
- [c31]Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. AAAI 2021: 12955-12962 - [c30]Liang Pang, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CIKM 2021: 1396-1405 - [c29]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CVPR 2021: 6903-6912 - [c28]Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. EMNLP (1) 2021: 2510-2521 - [c27]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. EMNLP (1) 2021: 3615-3626 - [c26]Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Zhi-Ming Ma, Yanyan Lan:
Uncertainty Calibration for Ensemble-Based Debiasing Methods. NeurIPS 2021: 13657-13669 - [c25]Liang Pang, Qingyao Ai, Jun Xu:
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. SIGIR 2021: 2647-2650 - [c24]Liang Pang, Qingyao Ai, Jun Xu:
Beyond Probability Ranking Principle: Modeling the Dependencies among Documents. WSDM 2021: 1137-1140 - [e1]Hongfei Lin, Min Zhang, Liang Pang:
Information Retrieval - 27th China Conference, CCIR 2021, Dalian, China, October 29-31, 2021, Proceedings. Lecture Notes in Computer Science 13026, Springer 2021, ISBN 978-3-030-88188-7 [contents] - [i30]Liang Pang, Yanyan Lan, Xueqi Cheng:
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching. CoRR abs/2101.06423 (2021) - [i29]Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. CoRR abs/2104.00929 (2021) - [i28]Lin Bo, Liang Pang, Gang Wang, Jun Xu, XiuQiang He, Ji-Rong Wen:
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. CoRR abs/2108.05652 (2021) - [i27]Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Toward the Understanding of Deep Text Matching Models for Information Retrieval. CoRR abs/2108.07081 (2021) - [i26]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. CoRR abs/2109.06747 (2021) - [i25]Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. CoRR abs/2109.07812 (2021) - [i24]Ruibin Xiong, Yimeng Chen, Liang Pang, Xueqi Cheng, Yanyan Lan:
Uncertainty Calibration for Ensemble-Based Debiasing Methods. CoRR abs/2111.04104 (2021) - 2020
- [j4]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into neural ranking models for information retrieval. Inf. Process. Manag. 57(6): 102067 (2020) - [j3]Bin Jiang, Jingxu Yang, Chao Yang, Wanyue Zhou, Liang Pang, Xiaokang Zhou:
Knowledge Augmented Dialogue Generation with Divergent Facts Selection. Knowl. Based Syst. 210: 106479 (2020) - [c23]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CIKM 2020: 465-474 - [c22]Bin Jiang, Jing Hou, Wanyue Zhou, Chao Yang, Shihan Wang, Liang Pang:
METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis. COLING 2020: 162-172 - [c21]Bin Jiang, Wanyue Zhou, Jingxu Yang, Chao Yang, Shihan Wang, Liang Pang:
PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation. COLING 2020: 4089-4099 - [c20]Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen:
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. EMNLP (1) 2020: 2985-2994 - [c19]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. EMNLP (Findings) 2020: 4379-4389 - [c18]Guangsheng Kuang, Yan Guo, Yue Liu, Liang Pang, Zhihua Yu, Xueqi Cheng, Jinlong Liu, Xiaoming Yu:
Bursty Event Detection via Multichannel Feature Alignment. ICBDC 2020: 39-45 - [c17]Yimeng Chen, Yanyan Lan, Ruibin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng:
Evaluating Natural Language Generation via Unbalanced Optimal Transport. IJCAI 2020: 3730-3736 - [c16]Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin:
Modeling Topical Relevance for Multi-Turn Dialogue Generation. IJCAI 2020: 3737-3743 - [c15]Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. SIGIR 2020: 499-508 - [c14]Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R²: Leveraging Ranking for Abductive Reasoning. SIGIR 2020: 1961-1964 - [i23]Yunchang Zhu, Liang Pang, Yanyan Lan, Xueqi Cheng:
L2R2: Leveraging Ranking for Abductive Reasoning. CoRR abs/2005.11223 (2020) - [i22]Linfang Hou, Liang Pang, Xin Hong, Yanyan Lan, Zhiming Ma, Dawei Yin:
Robust Reinforcement Learning with Wasserstein Constraint. CoRR abs/2006.00945 (2020) - [i21]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CoRR abs/2008.05640 (2020) - [i20]Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin:
Modeling Topical Relevance for Multi-Turn Dialogue Generation. CoRR abs/2009.12735 (2020) - [i19]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. CoRR abs/2010.05001 (2020) - [i18]Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Xiaopeng Gao, Xiaozhao Wang, Ji-Rong Wen:
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. CoRR abs/2010.07717 (2020) - [i17]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CoRR abs/2011.13160 (2020)
2010 – 2019
- 2019
- [c13]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. AAAI 2019: 6875-6882 - [c12]Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. ACL (1) 2019: 3721-3730 - [i16]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering. CoRR abs/1901.03866 (2019) - [i15]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into Neural Ranking Models for Information Retrieval. CoRR abs/1903.06902 (2019) - [i14]Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. CoRR abs/1907.05339 (2019) - [i13]Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen:
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. CoRR abs/1912.05891 (2019) - 2018
- [c11]Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu, Xueqi Cheng:
RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching. AIRS 2018: 90-102 - [i12]Peng Peng, Liang Pang, Yufeng Yuan, Chao Gao:
Continual Match Based Training in Pommerman: Technical Report. CoRR abs/1812.07297 (2018) - 2017
- [c10]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. ACML 2017: 177-191 - [c9]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CIKM 2017: 247-256 - [c8]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CIKM 2017: 257-266 - [i11]Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
MatchZoo: A Toolkit for Deep Text Matching. CoRR abs/1707.07270 (2017) - [i10]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Deep Investigation of Deep IR Models. CoRR abs/1707.07700 (2017) - [i9]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CoRR abs/1710.05649 (2017) - [i8]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CoRR abs/1710.06997 (2017) - [i7]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. CoRR abs/1711.08132 (2017) - 2016
- [j2]Hong Hu, Liang Pang, Zhongzhi Shi:
Image matting in the perception granular deep learning. Knowl. Based Syst. 102: 51-63 (2016) - [c7]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. AAAI 2016: 2793-2799 - [c6]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. AAAI 2016: 2835-2841 - [c5]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
SPAN: Understanding a Question with Its Support Answers. AAAI 2016: 4250-4251 - [c4]Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer:
Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. ECIR 2016: 115-128 - [c3]Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng:
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. IJCAI 2016: 2922-2928 - [i6]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. CoRR abs/1602.06359 (2016) - [i5]Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng:
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. CoRR abs/1604.04378 (2016) - [i4]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Study of MatchPyramid Models on Ad-hoc Retrieval. CoRR abs/1606.04648 (2016) - 2015
- [i3]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. CoRR abs/1511.08277 (2015) - 2014
- [j1]Hong Hu, Liang Pang, Dongping Tian, Zhongzhi Shi:
Perception granular computing in visual haze-free task. Expert Syst. Appl. 41(6): 2729-2741 (2014) - [c2]Hong Hu, Panyi Ouyang, Liang Pang, Zhongzhi Shi:
A hybrid approach of PTSVM and ELM inspired by samples' geometric distribution structure. GrC 2014: 100-105 - [i2]Yuyu Zhang, Liang Pang, Lei Shi, Bin Wang:
Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform. CoRR abs/1408.6515 (2014) - 2013
- [c1]Hong Hu, Liang Pang, Dongping Tian, Zhongzhi Shi:
Granular computing in visual haze-free task. GrC 2013: 147-152 - [i1]Xudong Liu, Bing Xu, Yuyu Zhang, Qiang Yan, Liang Pang, Qiang Li, Hanxiao Sun, Bin Wang:
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches. CoRR abs/1311.7679 (2013)
Coauthor Index
[c76] [c75] [c74] [c72] [c70] [c69] [i92] [i90] [i89] [i88] [i81] [i80] [i79] [i78] [j8] [j7] [c62] [c61] [c58] [c55] [c52] [c49] [c47] [c45] [c44] [i76] [i75] [i74] [i73] [i72] [i71] [i69] [i66] [i65] [i64] [i59] [i56] [i53] [i52] [j6] [c41] [c40] [c39] [c38] [c37] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i40] [i38] [i35] [c36] [c34] [c32] [i33] [i32] [i31] [c31] [c30] [c29] [c28] [c27] [c26] [i30] [i29] [i27] [i26] [i25] [i24] [j4] [c23] [c19] [c18] [c17] [c15] [c14] [i23] [i21] [i19] [i17] [c13] [c12] [i16] [i15] [i14] [i13] [c11] [c10] [c9] [c8] [i11] [i10] [i9] [i8] [i7] [c7] [c6] [c5] [c3] [i6] [i5] [i4] [i3]
[j7] [j6] [i51] [i50] [i48] [i47] [c34] [c32] [i32] [c31] [c30] [c29] [c28] [c27] [c26] [i30] [i29] [i27] [i26] [i25] [i24] [c23] [c19] [c17] [c16] [c15] [c14] [i23] [i22] [i21] [i20] [i19] [i17] [c13] [c12] [i16] [i14] [i13] [c11] [c10] [c9] [c8] [i11] [i10] [i9] [i8] [i7] [c7] [c6] [c5] [c3] [i6] [i5] [i4] [i3]
[c76] [c75] [c74] [c72] [c70] [c69] [i92] [i90] [i89] [i88] [i81] [i80] [i79] [i78] [j8] [j7] [c62] [c61] [c58] [c55] [c52] [c49] [c47] [c45] [c44] [i76] [i75] [i74] [i73] [i72] [i71] [i69] [i66] [i65] [i64] [i59] [i56] [i53] [i52] [c41] [c40] [c39] [c38] [c37] [i51] [i50] [i49] [i46] [i45] [i44] [i43] [i42] [i40] [i38] [i35] [c36] [c34] [c32] [i33] [i32] [i31] [c28] [c27] [i26] [i25]
Ji-Rong Wen
aka: Jirong Wen
aka: Jirong Wen
[c73] [c71] [c68] [c67] [c66] [c65] [c63] [i91] [i86] [i83] [i82] [c59] [c56] [c54] [c53] [c47] [c46] [c45] [i76] [i62] [i60] [i58] [i57] [i41] [i39] [i35] [j5] [c35] [c25] [c24] [i28] [c20] [c15] [i18] [c13] [i16] [i13] [c11] [c10] [c9] [c8] [i10] [i9] [i8] [i7] [c7] [c6] [c5] [c3] [i6] [i5] [i4] [i3]
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