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neural retrieval

55 papers

Papers

DS SERVE: A Framework for Efficient and Scalable Neural Retrieval AAAI 2026 Contextual Document Embeddings ICLR 2025 ExcluIR: Exclusionary Neural Information Retrieval AAAI 2025 ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance EMNLP 2025 FORTIFY: Generative Model Fine-tuning with ORPO for ReTrieval Expansion of InFormal NoisY Text ACL 2025 Multi-stage Training of Bilingual Islamic LLM for Neural Passage Retrieval COLING 2025 Retrieving Support to Rank Answers in Open-Domain Question Answering EMNLP 2025 Semi-Parametric Retrieval via Binary Bag-of-Tokens Index ICLR 2025 tRAG: Term-level Retrieval-Augmented Generation for Domain-Adaptive Retrieval NAACL 2025 UR2N: Unified Retriever and ReraNker COLING 2025 Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration ACL 2024 Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval EMNLP 2024 DAPR: A Benchmark on Document-Aware Passage Retrieval ACL 2024 DeepCT-enhanced Lexical Argument Retrieval ACL 2024 Exploring efficient zero-shot synthetic dataset generation for Information Retrieval EACL 2024 IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages ACL 2024 Planning and Editing What You Retrieve for Enhanced Tool Learning NAACL 2024 Referral Augmentation for Zero-Shot Information Retrieval ACL 2024 Upgrading Search Applications in the Era of LLMs: A Demonstration with Practical Lessons IJCAI 2024 1-PAGER: One Pass Answer Generation and Evidence Retrieval EMNLP 2023 Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval EMNLP 2023 Double Retrieval and Ranking for Accurate Question Answering EACL 2023 How Does Generative Retrieval Scale to Millions of Passages? EMNLP 2023 Leveraging Domain Adaptation and Data Augmentation to Improve Qur’anic IR in English and Arabic EMNLP 2023 Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions EACL 2023