conftrace_

query expansion

62 papers

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Also known as

QE

Co-occurring keywords

information retrieval (1514) large language model (13587) retrieval-augmented generation (1592) dense retrieval (281) question answering (2963) document retrieval (228) open-domain question answering (176) sparse retrieval (35) image retrieval (600) zero-shot learning (3650)

Papers

APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval AAAI 2026
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval AAAI 2026
QuDAR: Query-Wise Dual-Perspective Adaptive Retrieval ACL 2026
GOLFer: Smaller LMs-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval ACL 2025
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion ACL 2025
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation ACL 2025
Word2Passage: Word-level Importance Re-weighting for Query Expansion ACL 2025
ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance EMNLP 2025
MMLF: Multi-query Multi-passage Late Fusion Retrieval NAACL 2025
EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary ACL 2025
HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval ACL 2025
Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion ACL 2025
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval NAACL 2025
Database-Augmented Query Representation for Information Retrieval EMNLP 2025
Not All Terms Matter: Recall-Oriented Adaptive Learning for PLM-aided Query Expansion in Open-Domain Question Answering ACL 2025
Enhancing Retrieval-Augmented Generation: A Study of Best Practices COLING 2025
Open-World Evaluation for Retrieving Diverse Perspectives NAACL 2025
ThinkQE: Query Expansion via an Evolving Thinking Process EMNLP 2025
RADCoT: Retrieval-Augmented Distillation to Specialization Models for Generating Chain-of-Thoughts in Query Expansion COLING 2024
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets EACL 2024
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion NAACL 2024
Corpus-Steered Query Expansion with Large Language Models EACL 2024
Analyze, Generate and Refine: Query Expansion with LLMs for Zero-Shot Open-Domain QA ACL 2024
Synergistic Interplay between Search and Large Language Models for Information Retrieval ACL 2024
Improving Retrieval in Sponsored Search by Leveraging Query Context Signals EMNLP 2024