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Are Neural Ranking Models Robust?
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/asi.21194openalex-snapshot
Search Engines Information Retrieval in Practice
inferredcites →https://doi.org/10.1007/978-1-4471-2099-5_24openalex-snapshot
Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval
inferredcites →https://doi.org/10.1007/978-3-030-58568-6_46openalex-snapshot
Adversarial Ranking Attack and Defense
inferredcites →https://doi.org/10.1007/978-3-030-99736-6_27openalex-snapshot
Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators
inferredcites →https://doi.org/10.1016/j.ipm.2013.08.004openalex-snapshot
Bias–variance analysis in estimating true query model for information retrieval
inferredcites →https://doi.org/10.1016/s0004-3702(99)00101-0openalex-snapshot
Viewing morphology as an inference process
inferredcites →https://doi.org/10.1017/cbo9780511809071openalex-snapshot
Introduction to Information Retrieval
inferredcites →https://doi.org/10.1109/access.2018.2807385openalex-snapshot
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
inferredcites →https://doi.org/10.1109/cvpr.2011.5995347openalex-snapshot
Unbiased look at dataset bias
inferredcites →https://doi.org/10.1109/eurosp.2016.36openalex-snapshot
The Limitations of Deep Learning in Adversarial Settings
inferredcites →https://doi.org/10.1109/iccv48922.2021.00823openalex-snapshot
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
inferredcites →https://doi.org/10.1109/iccv48922.2021.01610openalex-snapshot
Practical Relative Order Attack in Deep Ranking
inferredcites →https://doi.org/10.1109/maes.2007.327521openalex-snapshot
The Significance of Letter Position in Word Recognition
inferredcites →https://doi.org/10.1109/mdat.2020.2971217openalex-snapshot
Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead
inferredcites →https://doi.org/10.1109/spw.2018.00016openalex-snapshot
Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
inferredcites →https://doi.org/10.1109/tse.2019.2962027openalex-snapshot
Machine Learning Testing: Survey, Landscapes and Horizons
inferredcites →https://doi.org/10.1145/1102351.1102363openalex-snapshot
Learning to rank using gradient descent
inferredcites →https://doi.org/10.1145/1150402.1150429openalex-snapshot
Training linear SVMs in linear time
inferredcites →https://doi.org/10.1145/1390334.1390524openalex-snapshot
Query-drift prevention for robust query expansion
inferredcites →https://doi.org/10.1145/1645953.1646059openalex-snapshot
Reducing the risk of query expansion via robust constrained optimization
inferredcites →https://doi.org/10.1145/2009916.2010190openalex-snapshot
Review of MSR-Bing web scale speller challenge
inferredcites →https://doi.org/10.1145/2484028.2484127openalex-snapshot
Bias-variance decomposition of ir evaluation
inferredcites →https://doi.org/10.1145/2505515.2505665openalex-snapshot
Learning deep structured semantic models for web search using clickthrough data
inferredcites →https://doi.org/10.1145/2661829.2661894openalex-snapshot
A Comparison of Retrieval Models using Term Dependencies
inferredcites →https://doi.org/10.1145/2983323.2983769openalex-snapshot
A Deep Relevance Matching Model for Ad-hoc Retrieval
inferredcites →https://doi.org/10.1145/3038912.3052579openalex-snapshot
Learning to Match using Local and Distributed Representations of Text for Web Search
inferredcites →https://doi.org/10.1145/3077136.3080749openalex-snapshot
A Large-Scale Query Spelling Correction Corpus
inferredcites →https://doi.org/10.1145/3077136.3080785openalex-snapshot
Information Retrieval Meets Game Theory
inferredcites →https://doi.org/10.1145/3077136.3080809openalex-snapshot
End-to-End Neural Ad-hoc Ranking with Kernel Pooling
inferredcites →https://doi.org/10.1145/3130348.3130377openalex-snapshot
A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval
inferredcites →https://doi.org/10.1145/3159652.3159659openalex-snapshot
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search
inferredcites →https://doi.org/10.1145/3209978.3209980openalex-snapshot
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval
inferredcites →https://doi.org/10.1145/3209978.3209999openalex-snapshot
Deep Domain Adaptation Hashing with Adversarial Learning
inferredcites →https://doi.org/10.1145/3209978.3210012openalex-snapshot
Ranking Robustness Under Adversarial Document Manipulations
inferredcites →https://doi.org/10.1145/3209978.3210141openalex-snapshot
Cross Domain Regularization for Neural Ranking Models using Adversarial Learning
inferredcites →https://doi.org/10.1145/3209978.3210155openalex-snapshot
Deep Domain Adaptation Based on Multi-layer Joint Kernelized Distance
inferredcites →https://doi.org/10.1145/3308774.3308781openalex-snapshot
The Neural Hype and Comparisons Against Weak Baselines
inferredcites →https://doi.org/10.1145/3331184.3331303openalex-snapshot
Deeper Text Understanding for IR with Contextual Neural Language Modeling
inferredcites →https://doi.org/10.1145/3331184.3331356openalex-snapshot
Quantifying Bias and Variance of System Rankings
inferredcites →https://doi.org/10.1145/3331184.3331414openalex-snapshot
Ranking Robustness In Adversarial Retrieval Settings
inferredcites →https://doi.org/10.1145/3336191.3371868openalex-snapshot
Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval
inferredcites →https://doi.org/10.1145/3340531.3412330openalex-snapshot
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
inferredcites →https://doi.org/10.1145/3366423.3380258openalex-snapshot
Context-Aware Document Term Weighting for Ad-Hoc Search
inferredcites →https://doi.org/10.1145/3437963.3441772openalex-snapshot
Bias-Variance Decomposition for Ranking
inferredcites →https://doi.org/10.1145/775047.775067openalex-snapshot
Optimizing search engines using clickthrough data
inferredcites →https://doi.org/10.1162/tacl_a_00300openalex-snapshot
SpanBERT: Improving Pre-training by Representing and Predicting Spans
inferredcites →https://doi.org/10.13053/cys-23-3-3271openalex-snapshot
Multi-Head Multi-Layer Attention to Deep Language Representations for Grammatical Error Detection
inferredcites →https://doi.org/10.14722/ndss.2019.23138openalex-snapshot
TextBugger: Generating Adversarial Text Against Real-world Applications
inferredcites →https://doi.org/10.1561/1500000016openalex-snapshot
Learning to Rank for Information Retrieval
inferredcites →https://doi.org/10.1609/aaai.v34i05.6311openalex-snapshot
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.244openalex-snapshot
Pretrained Transformers Improve Out-of-Distribution Robustness
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.245openalex-snapshot
Robust Encodings: A Framework for Combating Adversarial Typos
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.225openalex-snapshot
Dealing with Typos for BERT-based Passage Retrieval and Ranking
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.321openalex-snapshot
Grey-box Adversarial Attack And Defence For Sentiment Classification
inferredcites →https://doi.org/10.18653/v1/d17-1215openalex-snapshot
Adversarial Examples for Evaluating Reading Comprehension Systems
inferredcites →https://doi.org/10.18653/v1/d18-1316openalex-snapshot
Generating Natural Language Adversarial Examples
inferredcites →https://doi.org/10.18653/v1/d19-1352openalex-snapshot
Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval
inferredcites →https://doi.org/10.18653/v1/k18-1007openalex-snapshot
Adversarially Regularising Neural
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/p18-2006openalex-snapshot
HotFlip: White-Box Adversarial Examples for NLP
inferredcites →https://doi.org/10.18653/v1/p19-1561openalex-snapshot
Combating Adversarial Misspellings with Robust Word Recognition
inferredcites →https://doi.org/10.24963/ijcai.2018/585openalex-snapshot
Deep Text Classification Can be Fooled
inferredcites →https://doi.org/10.24963/ijcai.2018/601openalex-snapshot
Interpretable Adversarial Perturbation in Input Embedding Space for Text
inferredcites →https://doi.org/10.3115/1119355openalex-snapshot
Proceedings of the 2003 conference on Empirical methods in natural language processing -
inferredcites →https://doi.org/10.3115/1220575.1220695openalex-snapshot
Learning a spelling error model from search query logs
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3389/frai.2021.576892openalex-snapshot
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing
inferredcites →https://doi.org/10.4230/oasics.saia.2024.12openalex-snapshot
A View on Vulnerabilites: The Security Challenges of XAI (Academic Track)
inferredcites →https://doi.org/10.48550/arxiv.1306.2597openalex-snapshot
Introducing LETOR 4.0 Datasets
inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-snapshot
Explaining and Harnessing Adversarial Examples
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1605.07725openalex-snapshot
Adversarial Training Methods for Semi-Supervised Text Classification
inferredcites →https://doi.org/10.48550/arxiv.1609.08144openalex-snapshot
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
inferredcites →https://doi.org/10.48550/arxiv.1707.02812openalex-snapshot
Towards Crafting Text Adversarial Samples
inferredcites →https://doi.org/10.48550/arxiv.1801.07175openalex-snapshot
Adversarial Texts with Gradient Methods
inferredcites →https://doi.org/10.48550/arxiv.1808.07945openalex-snapshot
Maximal Jacobian-based Saliency Map Attack
inferredcites →https://doi.org/10.48550/arxiv.1808.08609openalex-snapshot
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
inferredcites →https://doi.org/10.48550/arxiv.1811.09020openalex-snapshot
Task-generalizable Adversarial Attack based on Perceptual Metric
inferredcites →https://doi.org/10.48550/arxiv.1904.06652openalex-snapshot
Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1904.08398openalex-snapshot
DocBERT: BERT for Document Classification
inferredcites →https://doi.org/10.48550/arxiv.1905.11268openalex-snapshot
Combating Adversarial Misspellings with Robust Word Recognition
inferredcites →https://doi.org/10.48550/arxiv.1911.11132openalex-snapshot
Scaling Out-of-Distribution Detection for Real-World Settings
inferredcites →https://doi.org/10.48550/arxiv.2010.06467openalex-snapshot
Pretrained Transformers for Text Ranking: BERT and Beyond
inferredcites →https://doi.org/10.48550/arxiv.2012.07421openalex-snapshot
WILDS: A Benchmark of in-the-Wild Distribution Shifts
inferredcites →https://doi.org/10.48550/arxiv.2103.11576openalex-snapshot
Grey-box Adversarial Attack And Defence For Sentiment Classification
inferredcites →https://doi.org/10.5555/2946645.2946704openalex-snapshot
Domain-adversarial training of neural networks
inferredcites →https://doi.org/10.5860/choice.46-2715openalex-snapshot
Introduction to information retrieval
inferredcites →https://doi.org/10.63317/3jxm8nv5ks9uopenalex-snapshot
Evaluating Web-based Question Answering Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-99736-6_27openalex-snapshot
Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators
inferred← citeshttps://doi.org/10.1007/978-3-032-21324-2_51openalex-snapshot
Understanding and Enhancing Robustness in Dense Information Retrieval
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103135openalex-snapshot
Dealing with textual noise for robust and effective BERT re-ranking
inferred← citeshttps://doi.org/10.1109/access.2024.3483966openalex-snapshot
Beyond Positive Similarity Metrics: Leveraging Negative Co-Occurrence in Recommender Systems
inferred← citeshttps://doi.org/10.1109/tkde.2025.3581553openalex-snapshot
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
inferred← citeshttps://doi.org/10.1145/3477495.3531878openalex-snapshot
Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval
inferred← citeshttps://doi.org/10.1145/3477495.3531951openalex-snapshot
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos
inferred← citeshttps://doi.org/10.1145/3511808.3557256openalex-snapshot
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models
inferred← citeshttps://doi.org/10.1145/3539618.3591777openalex-snapshot
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models
inferred← citeshttps://doi.org/10.1145/3664190.3672516openalex-snapshot
Ranking-Incentivized Document Manipulations for Multiple Queries
inferred← citeshttps://doi.org/10.1145/3726302.3730312openalex-snapshot
LEMSS: LLM-Based Platform for Multi-Agent Competitive Search Simulation
inferred← citeshttps://doi.org/10.1145/3749099openalex-snapshot
Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-Agent LLMs
inferred← citeshttps://doi.org/10.1145/3768153openalex-snapshot
Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective
inferred← citeshttps://doi.org/10.1145/3801957openalex-snapshot
Explainability of Text Processing and Retrieval Methods: A Survey
inferred← citeshttps://doi.org/10.1145/3849382openalex-snapshot
A Survey of Long-Document Retrieval in the PLM and LLM Era
inferred← citeshttps://doi.org/10.1609/aaai.v38i17.29837openalex-snapshot
Generative Multi-Modal Knowledge Retrieval with Large Language Models
inferred← citeshttps://doi.org/10.24963/ijcai.2022/275openalex-snapshot
Towards Robust Dense Retrieval via Local Ranking Alignment
inferred← citeshttps://doi.org/10.3390/app131810148openalex-snapshot
Towards Robust Neural Rankers with Large Language Model: A Contrastive Training Approach
inferred← citeshttps://doi.org/10.70675/0e6d7bcbz4ddbz45bczb909z78ab26702a56openalex-snapshot
Towards Effective, Efficient and Explainable Neural Information Retrieval
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