Cover Image

LSTM-based Selective Dense Text Retrieval Guided by Sparse Lexical Retrieval

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Yingrui, Carlson, Parker, Qiao, Yifan, Xie, Wentai, He, Shanxiu, Yang, Tao
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights
by: Qiao, Yifan, et al.
Published: (2024)

Dynamic Superblock Pruning for Fast Learned Sparse Retrieval
by: Carlson, Parker, et al.
Published: (2025)

Efficiency Optimizations for Superblock-based Sparse Retrieval
by: Carlson, Parker, et al.
Published: (2026)

Weighted KL-Divergence for Document Ranking Model Refinement
by: Yang, Yingrui, et al.
Published: (2024)

Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval
by: Song, Jonghyun, et al.
Published: (2025)

Efficient and Effective Retrieval of Dense-Sparse Hybrid Vectors using Graph-based Approximate Nearest Neighbor Search
by: Zhang, Haoyu, et al.
Published: (2024)

Scaling Sparse and Dense Retrieval in Decoder-Only LLMs
by: Zeng, Hansi, et al.
Published: (2025)

Interpret and Control Dense Retrieval with Sparse Latent Features
by: Kang, Hao, et al.
Published: (2024)

Operational Advice for Dense and Sparse Retrievers: HNSW, Flat, or Inverted Indexes?
by: Lin, Jimmy
Published: (2024)

Investigating Multi-layer Representations for Dense Passage Retrieval
by: Xie, Zhongbin, et al.
Published: (2025)

Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
by: Park, Seongwan, et al.
Published: (2025)

Leveraging Decoder Architectures for Learned Sparse Retrieval
by: Qiao, Jingfen, et al.
Published: (2025)

Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval
by: Mandikal, Priyanka, et al.
Published: (2024)

Does Generative Retrieval Overcome the Limitations of Dense Retrieval?
by: Zhang, Yingchen, et al.
Published: (2025)

Dense Passage Retrieval: Is it Retrieving?
by: Reichman, Benjamin, et al.
Published: (2024)

MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval
by: Liu, Yifan, et al.
Published: (2025)

Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection
by: Khramtsova, Ekaterina, et al.
Published: (2024)

LexBoost: Improving Lexical Document Retrieval with Nearest Neighbors
by: Kulkarni, Hrishikesh, et al.
Published: (2024)

Pseudo-Knowledge Graph: Meta-Path Guided Retrieval and In-Graph Text for RAG-Equipped LLM
by: Yang, Yuxin, et al.
Published: (2025)

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval
by: Zhang, Hanqi, et al.
Published: (2024)

HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
by: Madhu, Hiren, et al.
Published: (2026)

Retrieval-GRPO: A Multi-Objective Reinforcement Learning Framework for Dense Retrieval in Taobao Search
by: Liu, Xingxian, et al.
Published: (2025)

DenseReviewer: A Screening Prioritisation Tool for Systematic Review based on Dense Retrieval
by: Mao, Xinyu, et al.
Published: (2025)

TriSampler: A Better Negative Sampling Principle for Dense Retrieval
by: Yang, Zhen, et al.
Published: (2024)

Generative Retrieval Overcomes Limitations of Dense Retrieval but Struggles with Identifier Ambiguity
by: Bracher, Adrian, et al.
Published: (2026)

Aligning Language Models for Versatile Text-based Item Retrieval
by: Lei, Yuxuan, et al.
Published: (2024)

Text-Video Retrieval With Global-Local Contrastive Consistency Learning
by: Jing, Xiaolun, et al.
Published: (2026)

Dense Passage Retrieval in Conversational Search
by: Salamah, Ahmed H., et al.
Published: (2025)

On the Scaling of Robustness and Effectiveness in Dense Retrieval
by: Liu, Yu-An, et al.
Published: (2025)

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
by: Li, Minghan, et al.
Published: (2024)

Learning Refined Document Representations for Dense Retrieval via Deliberate Thinking
by: Ji, Yifan, et al.
Published: (2025)

Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval
by: Wu, Zhanyu, et al.
Published: (2026)

Cohort Retrieval using Dense Passage Retrieval
by: Jadhav, Pranav
Published: (2025)

Generative Retrieval as Multi-Vector Dense Retrieval
by: Wu, Shiguang, et al.
Published: (2024)

Rethinking Agentic Search with Pi-Serini: Is Lexical Retrieval Sufficient?
by: Hsu, Tz-Huan, et al.
Published: (2026)

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval
by: Peng, Peng, et al.
Published: (2026)

Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval
by: Kim, Junyoung, et al.
Published: (2026)

Xetrieval: Mechanistically Explaining Dense Retrieval
by: Cai, Zhixin, et al.
Published: (2026)

Unifying Generative and Dense Retrieval for Sequential Recommendation
by: Yang, Liu, et al.
Published: (2024)

GLEN: Generative Retrieval via Lexical Index Learning
by: Lee, Sunkyung, et al.
Published: (2023)