← Applications
Natural Language Processing › Applications ›

Information Retrieval

2362 directly classified papers

Papers per year

Papers

ClaimCatchers at SemEval-2025 Task 7: Sentence Transformers for Claim Retrieval ACL 2025
Ask Optimal Questions: Aligning Large Language Models with Retriever’s Preference in Conversation NAACL 2025
FactDebug at SemEval-2025 Task 7: Hybrid Retrieval Pipeline for Identifying Previously Fact-Checked Claims Across Multiple Languages ACL 2025
MMLF: Multi-query Multi-passage Late Fusion Retrieval NAACL 2025
CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval ACL 2025
LOFT: Scalable and More Realistic Long-Context Evaluation NAACL 2025
InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering EMNLP 2025
On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems NAACL 2025
ClaimPKG: Enhancing Claim Verification via Pseudo-Subgraph Generation with Lightweight Specialized LLM ACL 2025
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship AAAI 2025
ExcluIR: Exclusionary Neural Information Retrieval AAAI 2025
Inference Scaling for Bridging Retrieval and Augmented Generation NAACL 2025
Analyzing LLMs’ Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations ACL 2025
CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation NAACL 2025
Real-time Ad Retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising EMNLP 2025
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems AAAI 2025
How Well Do Large Language Models Extract Keywords? A Systematic Evaluation on Scientific Corpora NAACL 2025
ClaimCheck: Automatic Fact-Checking of Textual Claims using Web Evidence NAACL 2025
REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark ACL 2025
Do Voters Get the Information They Want? Understanding Authentic Voter FAQs in the US and How to Improve for Informed Electoral Participation NAACL 2025
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis ACL 2025
MUSTS: MUltilingual Semantic Textual Similarity Benchmark ACL 2025
SEARA: An Automated Approach for Obtaining Optimal Retrievers EMNLP 2025
Tracking and Identifying International Propaganda and Influence Networks Online AAAI 2025
Context-Efficient Retrieval with Factual Decomposition NAACL 2025