Information Retrieval

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking ACL 2023 Noisy Self-Training with Synthetic Queries for Dense Retrieval EMNLP 2023 On Complementarity Objectives for Hybrid Retrieval ACL 2023 Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval EMNLP 2023 RD-Suite: A Benchmark for Ranking Distillation NeurIPS 2023 Scientific Fact-Checking: A Survey of Resources and Approaches ACL 2023 Accelerating Code Search with Deep Hashing and Code Classification ACL 2022 Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022 Answer Quality Aware Aggregation for Extractive QA Crowdsourcing EMNLP 2022 A Statutory Article Retrieval Dataset in French ACL 2022 AutoST: Towards the Universal Modeling of Spatio-temporal Sequences NeurIPS 2022 Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking EMNLP 2022 Compact Token Representations with Contextual Quantization for Efficient Document Re-ranking ACL 2022 Efficient Graph Similarity Computation with Alignment Regularization NeurIPS 2022 Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval EMNLP 2022 Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval EMNLP 2022 MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction AAAI 2022 Optimal Correction Cost for Object Detection Evaluation CVPR 2022 Pseudo-Relevance for Enhancing Document Representation EMNLP 2022 SignRFF: Sign Random Fourier Features NeurIPS 2022 SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022 Table-based Fact Verification with Self-adaptive Mixture of Experts ACL 2022 Unsupervised Dense Retrieval for Scientific Articles EMNLP 2022 Yes-Yes-Yes: Proactive Data Collection for ACL Rolling Review and Beyond EMNLP 2022 “Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers ACL 2021