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Information Retrieval

238 directly classified papers

Papers per year

Papers

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval EMNLP 2023
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023
Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search ACL 2023
Identifying Informational Sources in News Articles EMNLP 2023
RD-Suite: A Benchmark for Ranking Distillation NIPS 2023
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence ACL 2023
SignRFF: Sign Random Fourier Features NIPS 2022
Efficient Graph Similarity Computation with Alignment Regularization NIPS 2022
Answer Quality Aware Aggregation for Extractive QA Crowdsourcing EMNLP 2022
Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval EMNLP 2022
Optimal Correction Cost for Object Detection Evaluation CVPR 2022
Pseudo-Relevance for Enhancing Document Representation EMNLP 2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval EMNLP 2022
Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond EMNLP 2022
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking EMNLP 2022
Unsupervised Dense Retrieval for Scientific Articles EMNLP 2022
Table-based Fact Verification with Self-adaptive Mixture of Experts ACL 2022
A Statutory Article Retrieval Dataset in French ACL 2022
Accelerating Code Search with Deep Hashing and Code Classification ACL 2022
Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking ACL 2022
Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022
MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction AAAI 2022
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences NIPS 2022
GerDaLIR: A German Dataset for Legal Information Retrieval EMNLP 2021