Hybrid Retrieval

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6 papers in the last four weeks, up 50% on the four weeks before. 0.1% of all new papers.

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Latest papers 57

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PILLAR: Private Inverted-Index Lexical Lookup for Augmented Retrieval
Sep 28, 2026Truong Son Nguyen, Daniel Blackley, Ni Trieu +1Retrieval-Augmented Generation Lexical Retrieval
Arizona State University · Department of Computer Science Arizona State University Tempe, AZ 85281, USA · George Mason University +1
Page-Aware Retrieval-Augmented Generation for EvalLLM 2026: A Five-Variant Study on French PDFs
Sep 28, 2026Abdelhak keliousRetrieval-Augmented Generation Question Decomposition
Capsens, France
Parameterized Dense-Sparse Fusion for Hybrid Retrieval: Tuning a Rank-Score Mix on BEIR SciFact with Qdrant
Sep 19, 2026Satyanarayan Pati, Srikanth PatilHybrid Retrieval Rank Aggregation
Involead Services Pvt. Ltd.
VoiceTrace: A Benchmark and Retrieval Framework for Who-Said-What Speech Retrieval
Sep 16, 2026Aaron Yee, Fengjie Lu, Jiarui Hai +5Audio-Text Retrieval Hybrid Retrieval
Zhejiang University · Johns Hopkins University · independent researcher
Quanta: A Self-Contained Python Library for Hybrid Retrieval over Quantised Embeddings, Lexical Indexes, and Knowledge Graphs
Sep 16, 2026Ioannis E. LivierisGraph-Based Retrieval Hybrid Retrieval
Novelcore, Athens, GR 10436 · Department of Business Administration & Organization Administration, University of Peloponnese, Kalamata, GR 24100
IROH: Insightful Ranking Of Humor using Multi-Stage Hybrid Retrieval with Rationale-Distilled LLM Judges for JOKER 2026 Track Task 1 English
Sep 14, 2026Ana-Maria Luisa Mocanu, Sebastian Mocanu, Ciprian-Octavian Truica +1LLM-as-a-Judge Hybrid Retrieval
National University of Science and Technology POLITEHNICA Bucharest, Splaiul Independenţei 313, Bucureşti 060042, Romania · Academy of Romanian Scientists, Ilfov 3, Bucharest, 050044, Romania
Comparing Retrieval Methods for Academic Advisor Discovery: A Six-Method Study of 768 CS Faculty Profiles Across 9 US Universities
Sep 3, 2026Biraj SubediLearning to Rank Hybrid Retrieval
Independent Researcher
Annotated Surrogate Retrieval for Polish Statutory Law
Aug 31, 2026Orkun Yiğit CengizLegal IR LLM Reranking
Independent Researcher
Query Expansion Should Be Coordinated: Dense Expands, Sparse Anchors
Aug 16, 2026Chunran ZhangRetrieval-Augmented Generation RAG Evaluation
School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu, China
AkasicDB: Demonstrating Omni RAG with a Unified Vector-Graph-Relational DBMS
Aug 10, 2026Geonho Lee, Jeongho Park, Donghyoung Han +1Retrieval-Augmented Generation Graph Retrieval-Augmented Generation
KAIST Daejeon, Republic of Korea · GraphAI Daejeon, Republic of Korea
VDGR-RAG: Vectors, Directories, Graphs, and Reflection Are All You Need for Unified Reasoning over Hierarchical Enterprise Knowledge
Aug 8, 2026Wenqi Chen, Haofei Yang, Rui Yang +1KG Construction Graph Retrieval-Augmented Generation
Huawei Technologies, Shanghai, China
Comparative Approaches to Agent Retrieval over Large Skill Libraries
Aug 6, 2026Indivara Kolluru, Nathan SportsmanGraph-Based Retrieval LLM Agent Skill Retrieval
Praetorian
SciRet: A Compute-Aware Empirical Study of Retrieval and Reranking for Scientific RAG
Aug 4, 2026Kaysarul Anas Apurba, Md. Hasibul Hasan, Rofiqul Alam Shehab +1Cross-Encoder Reranking Scientific QA
Laurentian University · North South University
Field-Aware Agent Skill Retrieval
Aug 3, 2026Paimon Goulart, Liang Wu, Kelly Wan +2LLM Agent Skill Retrieval Hybrid Retrieval
University of California, Riverside · Nokia
UEmbed: Unified Sparse and Dense Multimodal Embeddings
Aug 3, 2026Tingyu Song, Mingxin Li, Yanzhao Zhang +5Multimodal IR Learned Sparse Retrieval
CASIA · University of Chinese Academy of Sciences · Alibaba Group +1
Retrieval Augmented Biomedical Question Answering with Weak Question Recovery and Neural Reranking for BioASQ Task 14b
Aug 2, 2026Xueying Zhao, Lee Mai, Balaji AnandganeshRetrieval-Augmented Generation Learning to Rank
Georgia Institute of Technology, North Ave NW, Atlanta, GA 30332
CeQe: Grounding Lexical Retrieval in Semantic Evidence
Aug 1, 2026Adam Kahirov, Umesh Deshpande, Swaminathan SundararamanLexical Retrieval Information Retrieval
IBM Research
Do Current Retrievers Cover All the Evidence? A Controlled Study of Conjunctive Cross-Page Retrieval
Jul 27, 2026Sungguk Cha, DongWook Kim, Mintae Kim +3Information Retrieval Visual Document Retrieval
LG Uplus, Seoul, South Korea
SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads
Jul 25, 2026Congfei Zhang, Jingxiao Ma, Xiaodong Liu +14Online Advertising Adaptive Retrieval
Snap Inc. Bellevue, WA, USA · Snap Inc. Seattle, WA, USA · Snap Inc. Palo Alto, CA, USA +1
VecTree-RAG: An Agentic Retrieval-Augmented Generation Framework Combining Vector and Tree Retrieval for Efficiency and Accuracy
Jul 25, 2026Xinyan Zhong, Yuwei Shi, Yuqi Wei +3Scientific QA Agentic RAG
Department of Chemistry and Materials Science, Xi’an Jiaotong-Liverpool University, Suzhou 215123, Jiangsu, P. R. China · Suzhou Lab, Suzhou, P. R. China · College of Carbon Neutrality Future Technology, State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), Beijing 102249, China +1
A Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting - The CUP Dataset
Jul 23, 2026Katerina Papantoniou, Panagiotis Papadakos, Theodore Patkos +3Text Embedding Evaluation Multilingual IR
ICS-FORTH Heraklion, Greece · Crete University Press Heraklion, Greece · University of Crete, Computer Science Department, Heraklion, Greece
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B
Jul 15, 2026Dima Galat, Marian-Andrei RizoiuRetrieval-Augmented Generation Biomedical QA
University of Technology Sydney, Australia
Diagnosing and Mitigating Retrieval Bottlenecks in LLM-Based Cold-Start Recommendation
Jun 29, 2026Zhe Dong, Fang Qin, Manish Shah +1Cold-Start Recommendation LLM Reranking
University of Maine at Presque Isle · Stanford University · 2Stanford University +2
Mandol: An Agglomerative Agent Memory System for Long-Term Conversations
Jun 29, 2026Yuhan Zhang, Zhiyuan Guo, Ziheng Zeng +3Agent Memory Graph Retrieval-Augmented Generation
Institute of Software, Chinese Academy of Sciences · Microsoft Research
Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model
Jun 24, 2026Sergey KurilenkoSemantic Search Hybrid Retrieval
Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia.
Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity
Jun 24, 2026Heethanjan Kanagalingam, Thenukan Pathmanathan, Mokeeshan Vathanakumar +3Multimodal RAG Visual Question Answering
The University of Melbourne, Melbourne, Australia · Lakehead University, Thunder Bay, Canada
Hybrid-IR: Dual-Path Hybrid Retrieval with Iterative Reasoning for Complex Medical Question Answering
Jun 24, 2026Sheng Wan, Jiahui Zhang, Zicheng Zhao +1Retrieval-Augmented Generation Graph Retrieval-Augmented Generation
College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China · School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China
Schema-First Retrieval: Embedding Catalogs for Natural Language Analytics
Jun 23, 2026Adarsh Agrawal, Shashank IndukuriText-to-SQL Information Retrieval
Train, Retrieve, or Both? A Four-Arm Head-to-Head for Correct Statutory Citation on the Ontario Residential Tenancies Act
Jun 18, 2026Ali Asaria, Tony Salomone, Deep GandhiSupervised Fine-Tuning Retrieval-Augmented Generation
Transformer Lab
Vortex: Multi-Modal Fusion System for Intelligent Video Retrieval
Jun 18, 2026Duc-Tho Nguyen, Hieu-Hoc Tran-Minh, Khanh-Hoa Lam +4Multimodal IR Information Retrieval
University of Science, VNU-HCM, Ho Chi Minh City, Vietnam · Vietnam National University, Ho Chi Minh City, Vietnam

Sep 28, 2026, cs.AIJ/K move · Enter open · S save

PILLAR: Private Inverted-Index Lexical Lookup for Augmented Retrieval

Truong Son Nguyen, Daniel Blackley, Ni Trieu, Evgenios M. Kornaropoulos

Arizona State University · Department of Computer Science Arizona State University Tempe, AZ 85281, USA · George Mason University+1

Retrieval-Augmented Generation Lexical Retrieval Information Retrieval Hybrid Retrieval

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Retrieval-augmented generation (RAG) hands the user's query to whoever hosts the corpus. We propose PILLAR, a Privacy-Preserving RAG (PPRAG) system based on Private Information Retrieval (PIR) in which a client utilizes the k documents most similar to their query from a server-held and publicly known corpus to respond to their query, while the server learns nothing about the query, either its terms or its access pattern. Prior PPRAG constructions rely on dense retrieval alone, translating approximate nearest-neighbor search into many query-dependent rounds of PIR, and pay for it in both latency and retrieval quality. PILLAR instead performs private hybrid retrieval in two stages. A sparse stage issues a small, fixed number of PIR queries against a carefully designed index of precomputed BM25 scores, filtering the corpus down to candidates that share terms with the query without the server ever seeing which terms these are. A dense stage then fetches only those candidates' document embeddings and re-ranks them locally, avoiding the many costly PIR queries that private dense retrieval typically requires. We instantiate PILLAR with two protocols that trade latency against retrieval quality, each built on a different private rendering of lexical search. PILLAR-Bin bins posting lists into a hash table and is a single-round design that achieves lower latency than state-of-the-art private retrieval schemes. PILLAR-Tree turns block-max pruning into an oblivious tree traversal combined with cuckoo hash tables and achieves the highest retrieval quality at lower latency than state-of-the-art schemes.

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Latest papers 57