Co-occurring keywords · papers mentioning both
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