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2020 – today
- 2025
[j99]Zezhi Shao
, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng. 37(1): 291-305 (2025)- 2024
- [j98]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Bingbing Xu, Xueqi Cheng:
IDEA: Invariant defense for graph adversarial robustness. Inf. Sci. 680: 121171 (2024) - [j97]Keting Cen, Hua-Wei Shen, Qi Cao, Bingbing Xu, Xueqi Cheng:
Identity-Preserving Adversarial Training for Robust Network Embedding. J. Comput. Sci. Technol. 39(2): 177-191 (2024) - [j96]Yige Yuan, Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Wen Zheng, Xueqi Cheng:
Towards generalizable Graph Contrastive Learning: An information theory perspective. Neural Networks 172: 106125 (2024) - [j95]Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Node Embedding Preserving Graph Summarization. ACM Trans. Knowl. Discov. Data 18(6): 145:1-145:19 (2024) - [j94]Wenjie Feng, Shenghua Liu, Danai Koutra, Xueqi Cheng:
Unified Dense Subgraph Detection: Fast Spectral Theory Based Algorithms. IEEE Trans. Knowl. Data Eng. 36(3): 1356-1370 (2024) - [j93]Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Graph Adversarial Immunization for Certifiable Robustness. IEEE Trans. Knowl. Data Eng. 36(4): 1597-1610 (2024) - [j92]Yi Zhang, Yuying Zhao, Zhaoqing Li, Xueqi Cheng, Yu Wang, Olivera Kotevska, Philip S. Yu, Tyler Derr:
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications. IEEE Trans. Knowl. Data Eng. 36(12): 7497-7515 (2024) - [j91]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) - [j90]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) - [j89]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. ACM Trans. Inf. Syst. 42(5): 133:1-133:31 (2024) - [c474]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. AAAI 2024: 8832-8840 - [c473]Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. AAAI 2024: 16614-16622 - [c472]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 - [c471]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 - [c470]Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. ACL (Findings) 2024: 1178-1192 - [c469]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
LPNL: Scalable Link Prediction with Large Language Models. ACL (Findings) 2024: 3615-3625 - [c468]Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng:
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. ACL (Findings) 2024: 5419-5437 - [c467]Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? ACL (1) 2024: 6207-6227 - [c466]Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Lixiang Lixiang, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. ACL (1) 2024: 8758-8779 - [c465]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. ACL (Findings) 2024: 10303-10317 - [c464]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. ACL (Findings) 2024: 11375-11388 - [c463]Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng:
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. CIKM 2024: 207-217 - [c462]Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. CIKM 2024: 695-705 - [c461]Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng:
GaQR: An Efficient Generation-augmented Question Rewriter. CIKM 2024: 4228-4232 - [c460]Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Class-Incremental Few-Shot Event Detection. LREC/COLING 2024: 3261-3270 - [c459]Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Few-shot Link Prediction on Hyper-relational Facts. LREC/COLING 2024: 7196-7207 - [c458]Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Nested Event Extraction upon Pivot Element Recognition. LREC/COLING 2024: 12127-12137 - [c457]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. LREC/COLING 2024: 13407-13418 - [c456]Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng:
Selective Temporal Knowledge Graph Reasoning. LREC/COLING 2024: 14555-14566 - [c455]Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
TEA: Test-Time Energy Adaptation. CVPR 2024: 23901-23911 - [c454]Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng:
History Driven Sampling for Scalable Graph Neural Networks. DASFAA (6) 2024: 364-374 - [c453]Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. ECAI 2024: 2234-2241 - [c452]Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. ECIR (1) 2024: 39-55 - [c451]Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. ECIR (4) 2024: 194-209 - [c450]Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. EMNLP (Findings) 2024: 2380-2393 - [c449]Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. EMNLP 2024: 5263-5274 - [c448]Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng:
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. EMNLP (Findings) 2024: 6985-7000 - [c447]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. EMNLP (Findings) 2024: 11071-11083 - [c446]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng:
SLANG: New Concept Comprehension of Large Language Models. EMNLP 2024: 12558-12575 - [c445]Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng:
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration. EMNLP 2024: 14131-14143 - [c444]Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts. EMNLP 2024: 15284-15298 - [c443]Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng:
SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. ICDE 2024: 3283-3296 - [c442]Weixin Zeng, Xiang Zhao, Zhen Tan, Jiuyang Tang, Xueqi Cheng:
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]. ICDE 2024: 5741-5742 - [c441]Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr:
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance. ICLR 2024 - [c440]Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
An In-Context Schema Understanding Method for Knowledge Base Question Answering. KSEM (1) 2024: 419-434 - [c439]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. ICMR 2024: 394-403 - [c438]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 - [c437]Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng:
Retrieval-Augmented Code Generation for Universal Information Extraction. NLPCC (2) 2024: 30-42 - [c436]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. RecSys 2024: 680-689 - [c435]Houquan Zhou, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Graph Summarization for Preserving Spectral Characteristics. SDM 2024: 271-279 - [c434]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 - [c433]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2024: 1391-1400 - [c432]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. SIGIR 2024: 1733-1742 - [c431]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? SIGIR 2024: 1941-1951 - [c430]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. SIGIR 2024: 2548-2552 - [c429]Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng:
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. WSDM 2024: 674-682 - [c428]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 - [c427]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 - [i239]Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. CoRR abs/2401.03648 (2024) - [i238]Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng:
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? CoRR abs/2401.11911 (2024) - [i237]Fangda Guo, Xuanpu Luo, Yanghao Liu, Guoxin Chen, Yongqing Wang, Huawei Shen, Xueqi Cheng:
ESC: Edge-attributed Skyline Community Search in Large-scale Bipartite Graphs. CoRR abs/2401.12895 (2024) - [i236]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks. CoRR abs/2401.17723 (2024) - [i235]Boshen Shi, Yongqing Wang, Fangda Guo, Bingbing Xu, Huawei Shen, Xueqi Cheng:
Graph Domain Adaptation: Challenges, Progress and Prospects. CoRR abs/2402.00904 (2024) - [i234]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) - [i233]Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
A Unified Causal View of Instruction Tuning. CoRR abs/2402.06220 (2024) - [i232]Yuyao Ge, Shenghua Liu, Wenjie Feng, Lingrui Mei, Lizhe Chen, Xueqi Cheng:
Graph Descriptive Order Improves Reasoning with Large Language Model. CoRR abs/2402.07140 (2024) - [i231]Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng:
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. CoRR abs/2402.09656 (2024) - [i230]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) - [i229]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. CoRR abs/2402.11457 (2024) - [i228]Zihao Wei, Liang Pang, Hanxing Ding, Jingcheng Deng, Huawei Shen, Xueqi Cheng:
Stable Knowledge Editing in Large Language Models. CoRR abs/2402.13048 (2024) - [i227]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Event-aware Video Corpus Moment Retrieval. CoRR abs/2402.13566 (2024) - [i226]Danyang Hou, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement. CoRR abs/2402.13576 (2024) - [i225]Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. CoRR abs/2402.13625 (2024) - [i224]Yan Lei, Liang Pang, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Qsnail: A Questionnaire Dataset for Sequential Question Generation. CoRR abs/2402.14272 (2024) - [i223]Jiafeng Guo, Changjiang Zhou, Ruqing Zhang, Jiangui Chen, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. CoRR abs/2402.16767 (2024) - [i222]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) - [i221]Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. CoRR abs/2403.07969 (2024) - [i220]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. CoRR abs/2403.12499 (2024) - [i219]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? CoRR abs/2403.19216 (2024) - [i218]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) - [i217]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. CoRR abs/2404.00216 (2024) - [i216]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2404.01574 (2024) - [i215]Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng:
Selective Temporal Knowledge Graph Reasoning. CoRR abs/2404.01695 (2024) - [i214]Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Class-Incremental Few-Shot Event Detection. CoRR abs/2404.01767 (2024) - [i213]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) - [i212]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) - [i211]Baolong Bi, Shenghua Liu, Lingrui Mei, Yiwei Wang, Pengliang Ji, Xueqi Cheng:
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts. CoRR abs/2405.11613 (2024) - [i210]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) - [i209]Zixu Wang, Bingbing Xu, Yige Yuan, Huawei Shen, Xueqi Cheng:
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. CoRR abs/2405.16224 (2024) - [i208]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) - [i207]Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy. CoRR abs/2406.11290 (2024) - [i206]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Jiayi Mao, Xueqi Cheng:
"Not Aligned" is Not "Malicious": Being Careful about Hallucinations of Large Language Models' Jailbreak. CoRR abs/2406.11668 (2024) - [i205]Xueqi Cheng, Yu Wang, Yunchao Liu, Yuying Zhao, Charu C. Aggarwal, Tyler Derr:
Edge Classification on Graphs: New Directions in Topological Imbalance. CoRR abs/2406.11685 (2024) - [i204]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Yilong Xu, Xueqi Cheng:
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities. CoRR abs/2406.12468 (2024) - [i203]Yilong Xu, Jinhua Gao, Xiaoming Yu, Baolong Bi, Huawei Shen, Xueqi Cheng:
ALiiCE: Evaluating Positional Fine-grained Citation Generation. CoRR abs/2406.13375 (2024) - [i202]Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. CoRR abs/2406.14023 (2024) - [i201]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. CoRR abs/2407.06992 (2024) - [i200]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. CoRR abs/2407.11504 (2024) - [i199]Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. CoRR abs/2407.18556 (2024) - [i198]Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information. CoRR abs/2408.05900 (2024) - [i197]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Hongcheng Gao, Junfeng Fang, Xueqi Cheng:
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models. CoRR abs/2409.10132 (2024) - [i196]Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng:
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. CoRR abs/2409.14744 (2024) - [i195]Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. CoRR abs/2409.14781 (2024) - [i194]Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. CoRR abs/2409.16146 (2024) - [i193]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. CoRR abs/2409.17476 (2024) - [i192]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. CoRR abs/2409.18409 (2024) - [i191]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) - [i190]Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng:
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router. CoRR abs/2410.02684 (2024) - [i189]Yige Yuan, Bingbing Xu, Teng Xiao, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng:
MITA: Bridging the Gap between Model and Data for Test-time Adaptation. CoRR abs/2410.09398 (2024) - [i188]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) - [i187]Xueqi Cheng, Catherine Yang, Yuying Zhao, Yu Wang, Hamid Karimi, Tyler Derr:
A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions. CoRR abs/2410.19214 (2024) - [i186]Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng:
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. CoRR abs/2410.22844 (2024) - [i185]Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng:
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense.