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Adversarial ranking attacks have gained increasing attention due to their success in probing vulnerabilities, and, hence, enhancing the robustness, of neural ranking models.
A Markovian Decision Process
Richard Bellman. 1957 · 1957
Earlier work this paper cites.
A Vector Space Model for Automatic Indexing
Gerard Salton, A. Wong, and C. S. Yang. 1975 · 1975
Earlier work this paper cites.
Learning Internal Representations by Error Propagation
David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams. 1985 · 1985
Earlier work this paper cites.
Some Simple Effective Approximations to the 2-poisson Model for Probabilistic Weighted Retrieval. In SIGIR’94 . Springer, 232–241
Stephen E Robertson and Steve Walker. 1994 · 1994
Earlier work this paper cites.
A Language Modeling Approach to Information Retrieval
Jay Ponte and W. Bruce Croft. 1998 · 1998
Earlier work this paper cites.
Web Spam Taxonomy. In AIRWeb
Zoltan Gyongyi and Hector Garcia-Molina. 2005 · 2005
Earlier work this paper cites.
Bandit Based Monte-Carlo Planning. In ECML
Levente Kocsis and Csaba Szepesvári. 2006 · 2006
Earlier work this paper cites.
Overview of the TREC 2009 Web Track
Charles L Clarke, Nick Craswell, and Ian Soboroff. 2009 · 2009
Earlier work this paper cites.
Learning to Rank for Information Retrieval
Tie-Yan Liu. 2009 · 2009
Earlier work this paper cites.
OSD: An Online Web Spam Detection System. In In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD , Vol. 9
Bin Zhou and Jian Pei. 2009 · 2009
Earlier work this paper cites.
Adversarial Web Search
Carlos Castillo and Brian D. Davison. 2011 · 2011
Earlier work this paper cites.
Overview of the TREC 2012 Web Track
Charles L Clarke, Nick Craswell, and Ellen M Voorhees. 2012 · 2012
Earlier work this paper cites.
Learning to Rank for Information Retrieval and Natural Language Processing
Hang Li. 2014 · 2014
Earlier work this paper cites.
Deep Learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015 · 2015
Earlier work this paper cites.
A Deep Relevance Matching Model for Ad-hoc Retrieval. In CIKM . 55–64
Jiafeng Guo, Yixing Fan, Qingyao Ai, and W Bruce Croft. 2016 · 2016
Earlier work this paper cites.
MS MARCO: A Human Generated Machine Reading Comprehension Dataset. In CoCo@NIPS
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
Earlier work this paper cites.
Neural Ranking Models with Weak Supervision. In SIGIR . 65–74
Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, and W Bruce Croft. 2017 · 2017
Earlier work this paper cites.
Learning to Match Using Local and Distributed Representations of Text for Web Search. In WWW
Bhaskar Mitra, Fernando Diaz, and Nick Craswell. 2017 · 2017
Earlier work this paper cites.
Collective multiagent sequential decision making under uncertainty. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 31
Duc Thien Nguyen, Akshat Kumar, and Hoong Chuin Lau. 2017 · 2017
Earlier work this paper cites.
Towards Crafting Text Adversarial Samples
Suranjana Samanta and Sameep Mehta. 2017 · 2017
Earlier work this paper cites.
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models. In ICLR
Wieland Brendel, Jonas Rauber, and Matthias Bethge. 2018 · 2018
Earlier work this paper cites.
HotFlip: White-Box Adversarial Examples for Text Classification. In ACL . 31–36
Javid Ebrahimi, Anyi Rao, Daniel Lowd, and Dejing Dou. 2018 · 2018
Earlier work this paper cites.
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. In SIGIR . 375–384
Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, and Xueqi Cheng. 2018 · 2018
Earlier work this paper cites.
Neural Information Retrieval: At the End of the Early Years
Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md. Mustafizur Rahman, Pinar Karagoz, Alexander Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, and Matthew Lease. 2018 · 2018
Cited alongside, same era.
Reinforcement Learning: An Introduction
Richard S. Sutton and Andrew G. Barto. 2018 · 2018
Cited alongside, same era.
Anserini: Reproducible Ranking Baselines Using Lucene
Peilin Yang, Hui Fang, and Jimmy Lin. 2018 · 2018
Cited alongside, same era.
Deeper Text Understanding for IR with Contextual Neural Language Modeling. In SIGIR
Zhuyun Dai and Jamie Callan. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL-HLT
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Competitive Search. In SIGIR
Oren Kurland and Moshe Tennenholtz. 2022 · 2022
Later among the works it cites.
Phrase-level Textual Adversarial Attack with Label Preservation. In Findings of the Association for Computational Linguistics: NAACL 2022 . 1095–1112
Yibin Lei, Yu Cao, Dianqi Li, Tianyi Zhou, Meng Fang, and Mykola Pechenizkiy. 2022 · 2022
Later among the works it cites.
Reasoning over different types of knowledge graphs: Static, temporal and multi-modal
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, and Fuchun Sun. 2022 · 2022
Later among the works it cites.
Introducing ChatGPT
OpenAI. 2022 · 2022
Later among the works it cites.
TRAttack: Text Rewriting Attack against Text Retrieval. In Proceedings of the 7th Workshop on Representation Learning for NLP . 191–203
Junshuai Song, Jiangshan Zhang, Jifeng Zhu, Mengyun Tang, and Yong Yang. 2022 · 2022
Later among the works it cites.
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Natural questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, et al · 2019
Cited alongside, same era.
TextBugger: Generating Adversarial Text Against Real-world Applications. In NDSS
Jinfeng Li, Shouling Ji, Tianyu Du, Bo Li, and Ting Wang. 2019 · 2019
Cited alongside, same era.
Rodrigo Nogueira and Kyunghyun Cho. 2019 · 2019
Cited alongside, same era.
Combating Adversarial Misspellings with Robust Word Recognition. In ACL . 5582–5591
Danish Pruthi, Bhuwan Dhingra, and Zachary C Lipton. 2019 · 2019
Cited alongside, same era.
Language Models Are Unsupervised Multitask Learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
Small and Practical BERT Models for Sequence Labeling. In EMNLP . 3632–3636
Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, and Amelia Archer. 2019 · 2019
Cited alongside, same era.
DeBERTa: Decoding-enhanced BERT with Disentangled Attention. In ICLR
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2020 · 2020
Cited alongside, same era.
Micro-influencer recommendation by multi-perspective account representation learning
Shaokun Wang, Tian Gan, Yuan Liu, Jianlong Wu, Yuan Cheng, and Liqiang Nie. 2022a · 2022
Later among the works it cites.
Automatic Expert Selection for Multi-Scenario and Multi-Task Search
Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, and Aixin Sun. 2022 · 2022
Later among the works it cites.
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval
Yinqiong Cai, Yixing Fan, Keping Bi, Jiafeng Guo, Wei Chen, Ruqing Zhang, and Xueqi Cheng. 2023 · 2023
Later among the works it cites.
Towards Imperceptible Document Manipulations against Neural Ranking Models. In ACL . 6648–6664
Xuanang Chen, Ben He, Zheng Ye, Le Sun, and Yingfei Sun. 2023 · 2023
Later among the works it cites.
Modeling Adversarial Attack on Pre-trained Language Models as Sequential Decision Making. In Findings of the Association for Computational Linguistics . 7322–7336
Xuanjie Fang, Sijie Cheng, Yang Liu, and Wei Wang. 2023 · 2023
Later among the works it cites.
https://app.grammarly.com/
Gramamrly. 2023 · 2023
Later among the works it cites.
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing . 14685–14691
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, and Dacheng Tao. 2023 · 2023
Later among the works it cites.
Adversarial Attacks on Multi-focus Image Fusion Models
Xin Jin, Ruxin Wang, Shin-Jye Lee, Qian Jiang, Shaowen Yao, and Wei Zhou. 2023 · 2023
Later among the works it cites.
Generative Judge for Evaluating Alignment
Junlong Li, Shichao Sun, Weizhe Yuan, Run-Ze Fan, Hai Zhao, and Pengfei Liu. 2023 · 2023
Later among the works it cites.
Message intercommunication for inductive relation reasoning
Ke Liang, Lingyuan Meng, Sihang Zhou, Siwei Wang, Wenxuan Tu, Yue Liu, Meng Liu, and Xinwang Liu. 2023 · 2023
Later among the works it cites.
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. In EMNLP . 14918–14937
Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, and Zhaochun Ren. 2023 · 2023
Later among the works it cites.
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models
Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, and Xueqi Cheng. 2023b · 2023
Later among the works it cites.
Imperceptible Adversarial Attack with Multi-granular Spatio-temporal Attention for Video Action Recognition
Guoming Wu, Yangfan Xu, Jun Li, Zhiping Shi, and Xianglong Liu. 2023a · 2023
Later among the works it cites.
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. In Findings of the Association for Computational Linguistics: EMNLP 2023 . 6373–6384
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, and Xueqi Cheng. 2023 · 2023
Later among the works it cites.
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 38
Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, and Xueqi Cheng. 2024 · 2024
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Shiyu Ni, Keping Bi, Jiafeng Guo, and Xueqi Cheng. 2024 · 2024
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Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models. In CCS . 2025–2039
Jiawei Liu, Yangyang Kang, Di Tang, Kaisong Song, Changlong Sun, Xiaofeng Wang, Wei Lu, and Xiaozhong Liu. 2022 · 2039
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