MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval
Fuente:
arXiv
Guardado en:
| Autores principales: | Banerjee, Debopriyo, Jain, Mausam, Kulkarni, Ashish |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
por: Kumar, Ramnath, et al.
Publicado: (2023)
por: Kumar, Ramnath, et al.
Publicado: (2023)
Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
por: Park, Seongwan, et al.
Publicado: (2025)
por: Park, Seongwan, et al.
Publicado: (2025)
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification
por: Subhalingam, D., et al.
Publicado: (2024)
por: Subhalingam, D., et al.
Publicado: (2024)
Towards Dynamic Dense Retrieval with Routing Strategy
por: Su, Zhan, et al.
Publicado: (2026)
por: Su, Zhan, et al.
Publicado: (2026)
Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval
por: Hemmat, Arshia, et al.
Publicado: (2024)
por: Hemmat, Arshia, et al.
Publicado: (2024)
Domain-Adaptive and Scalable Dense Retrieval for Content-Based Recommendation
por: Pandey, Mritunjay
Publicado: (2026)
por: Pandey, Mritunjay
Publicado: (2026)
The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training
por: Feng, Xincan, et al.
Publicado: (2026)
por: Feng, Xincan, et al.
Publicado: (2026)
Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval
por: Song, Jonghyun, et al.
Publicado: (2025)
por: Song, Jonghyun, et al.
Publicado: (2025)
Pseudo Relevance Feedback is Enough to Close the Gap Between Small and Large Dense Retrieval Models
por: Li, Hang, et al.
Publicado: (2025)
por: Li, Hang, et al.
Publicado: (2025)
Your Dense Retriever is Secretly an Expeditious Reasoner
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
por: Chaturvedi, Sarthak, et al.
Publicado: (2025)
por: Chaturvedi, Sarthak, et al.
Publicado: (2025)
Multimodal RAG for Unstructured Data:Leveraging Modality-Aware Knowledge Graphs with Hybrid Retrieval
por: R, Rashmi, et al.
Publicado: (2025)
por: R, Rashmi, et al.
Publicado: (2025)
Aligning Dense Retrievers with LLM Utility via Distillation
por: Sandhu, Rajinder, et al.
Publicado: (2026)
por: Sandhu, Rajinder, et al.
Publicado: (2026)
Multimodal Data Curation Through Ranked Retrieval
por: Muthukumar, Pratyush, et al.
Publicado: (2026)
por: Muthukumar, Pratyush, et al.
Publicado: (2026)
Hypencoder: Hypernetworks for Information Retrieval
por: Killingback, Julian, et al.
Publicado: (2025)
por: Killingback, Julian, et al.
Publicado: (2025)
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrieval
por: Bai, Yang, et al.
Publicado: (2024)
por: Bai, Yang, et al.
Publicado: (2024)
LEMUR: Learned Multi-Vector Retrieval
por: Jääsaari, Elias, et al.
Publicado: (2026)
por: Jääsaari, Elias, et al.
Publicado: (2026)
DenseRec: Revisiting Dense Content Embeddings for Sequential Transformer-based Recommendation
por: Lichtenberg, Jan Malte, et al.
Publicado: (2025)
por: Lichtenberg, Jan Malte, et al.
Publicado: (2025)
Test-Time Training for Zero-Resource Dense Retrieval Reranking
por: Liu, Shiyan, et al.
Publicado: (2026)
por: Liu, Shiyan, et al.
Publicado: (2026)
Blending Learning to Rank and Dense Representations for Efficient and Effective Cascades
por: Nardini, Franco Maria, et al.
Publicado: (2025)
por: Nardini, Franco Maria, et al.
Publicado: (2025)
Scaling Laws for Embedding Dimension in Information Retrieval
por: Killingback, Julian, et al.
Publicado: (2026)
por: Killingback, Julian, et al.
Publicado: (2026)
Efficient Multivector Retrieval with Token-Aware Clustering and Hierarchical Indexing
por: Martinico, Silvio, et al.
Publicado: (2026)
por: Martinico, Silvio, et al.
Publicado: (2026)
Applying Embedding-Based Retrieval to Airbnb Search
por: Abdool, Mustafa, et al.
Publicado: (2026)
por: Abdool, Mustafa, et al.
Publicado: (2026)
BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation
por: Tsirigotis, Christos, et al.
Publicado: (2025)
por: Tsirigotis, Christos, et al.
Publicado: (2025)
An Efficient Embedding Based Ad Retrieval with GPU-Powered Feature Interaction
por: Lei, Yifan, et al.
Publicado: (2025)
por: Lei, Yifan, et al.
Publicado: (2025)
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
por: Zhang, Fangyuan, et al.
Publicado: (2025)
por: Zhang, Fangyuan, et al.
Publicado: (2025)
Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising
por: Liu, Bin, et al.
Publicado: (2025)
por: Liu, Bin, et al.
Publicado: (2025)
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
por: Zhao, Yuang, et al.
Publicado: (2024)
por: Zhao, Yuang, et al.
Publicado: (2024)
RETLLM: Training and Data-Free MLLMs for Multimodal Information Retrieval
por: Su, Dawei, et al.
Publicado: (2026)
por: Su, Dawei, et al.
Publicado: (2026)
Probing Ranking LLMs: A Mechanistic Analysis for Information Retrieval
por: Chowdhury, Tanya, et al.
Publicado: (2024)
por: Chowdhury, Tanya, et al.
Publicado: (2024)
A Survey of Controllable Learning: Methods and Applications in Information Retrieval
por: Shen, Chenglei, et al.
Publicado: (2024)
por: Shen, Chenglei, et al.
Publicado: (2024)
A Data Science Approach to Calcutta High Court Judgments: An Efficient LLM and RAG-powered Framework for Summarization and Similar Cases Retrieval
por: Banerjee, Puspendu, et al.
Publicado: (2025)
por: Banerjee, Puspendu, et al.
Publicado: (2025)
Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion
por: Jiang, Pengcheng, et al.
Publicado: (2026)
por: Jiang, Pengcheng, et al.
Publicado: (2026)
MST-R: Multi-Stage Tuning for Retrieval Systems and Metric Evaluation
por: Malviya, Yash, et al.
Publicado: (2024)
por: Malviya, Yash, et al.
Publicado: (2024)
Re3: Learning to Balance Relevance & Recency for Temporal Information Retrieval
por: Cao, Jiawei, et al.
Publicado: (2025)
por: Cao, Jiawei, et al.
Publicado: (2025)
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs
por: Li, Yuan, et al.
Publicado: (2025)
por: Li, Yuan, et al.
Publicado: (2025)
BOXREC: Recommending a Box of Preferred Outfits in Online Shopping
por: Banerjee, Debopriyo, et al.
Publicado: (2024)
por: Banerjee, Debopriyo, et al.
Publicado: (2024)
IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval
por: Lee, Youngjune, et al.
Publicado: (2025)
por: Lee, Youngjune, et al.
Publicado: (2025)
AMES: Approximate Multi-modal Enterprise Search via Late Interaction Retrieval
por: Joseph, Tony, et al.
Publicado: (2026)
por: Joseph, Tony, et al.
Publicado: (2026)
Bridging the Gap: Leveraging Retrieval-Augmented Generation to Better Understand Public Concerns about Vaccines
por: Javed, Muhammad, et al.
Publicado: (2025)
por: Javed, Muhammad, et al.
Publicado: (2025)
Ejemplares similares
-
EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
por: Kumar, Ramnath, et al.
Publicado: (2023) -
Decoding Dense Embeddings: Sparse Autoencoders for Interpreting and Discretizing Dense Retrieval
por: Park, Seongwan, et al.
Publicado: (2025) -
A Framework for Leveraging Partially-Labeled Data for Product Attribute-Value Identification
por: Subhalingam, D., et al.
Publicado: (2024) -
Towards Dynamic Dense Retrieval with Routing Strategy
por: Su, Zhan, et al.
Publicado: (2026) -
Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval
por: Hemmat, Arshia, et al.
Publicado: (2024)