Imagen de Portada

Leveraging LLMs to Enable Natural Language Search on Go-to-market Platforms

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yao, Jesse, Acharya, Saurav, Parida, Priyaranjan, Attipalli, Srinivas, Dasdan, Ali
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Databases Information Retrieval Machine Learning I.2.7; H.3.3; H.3.4
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bhakti: A Lightweight Vector Database Management System for Endowing Large Language Models with Semantic Search Capabilities and Memory
por: Wu, Zihao
Publicado: (2025)

Diversification as Risk Minimization
por: Takehi, Rikiya, et al.
Publicado: (2025)

flexvec: SQL Vector Retrieval with Programmatic Embedding Modulation
por: Delmas, Damian
Publicado: (2026)

LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?
por: Takehi, Rikiya, et al.
Publicado: (2024)

AlayaDB: The Data Foundation for Efficient and Effective Long-context LLM Inference
por: Deng, Yangshen, et al.
Publicado: (2025)

From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms
por: Kai, Zhang, et al.
Publicado: (2026)

Timehash: Hierarchical Time Indexing for Efficient Business Hours Search
por: Kim, Jinoh, et al.
Publicado: (2026)

BatchBench: Toward a Workload-Aware Benchmark for Autoscaling Policies in Big Data Batch Processing -- A Proposed Framework
por: Budigi, Venkata Krishna Prasanth, et al.
Publicado: (2026)

Cost-Effective, Low Latency Vector Search with Azure Cosmos DB
por: Upreti, Nitish, et al.
Publicado: (2025)

Beyond Similarity Search: A Unified Data Layer for Production RAG Systems
por: Budigi, Venkata Krishna Prasanth, et al.
Publicado: (2026)

From BM25 to Corrective RAG: Benchmarking Retrieval Strategies for Text-and-Table Documents
por: Akarsu, Meftun, et al.
Publicado: (2026)

EnterpriseRAG-Bench: A RAG Benchmark for Company Internal Knowledge
por: Sun, Yuhong, et al.
Publicado: (2026)

The Treatment of Ties in Rank-Biased Overlap
por: Corsi, Matteo, et al.
Publicado: (2024)

TRACE: A Time-Relational Approximate Cubing Engine for Fast Data Insights
por: Sivakumar, Suharsh, et al.
Publicado: (2024)

Behavior-Aware Dual-Channel Preference Learning for Heterogeneous Sequential Recommendation
por: Xiao, Jing, et al.
Publicado: (2026)

Does UMBRELA Work on Other LLMs?
por: Farzi, Naghmeh, et al.
Publicado: (2025)

Session Context Embedding for Intent Understanding in Product Search
por: Mehrdad, Navid, et al.
Publicado: (2024)

Scaling Multilingual Semantic Search in Uber Eats Delivery
por: Ling, Bo, et al.
Publicado: (2026)

Stop Using the Wilcoxon Test: Myth, Misconception and Misuse in IR Research
por: Urbano, Julián
Publicado: (2026)

Graph-GRPO: Dependency-Aware Credit Assignment for Generative E-commerce Search Relevance
por: Che, Jiarui, et al.
Publicado: (2026)

Algorithmic Trust and Compliance: Benchmarking Brand Notability for UK iGaming Entities in Generative Search Engines
por: Oruesagasti, Julen
Publicado: (2026)

Space efficient implementation of hypergraph dualization in the D-basis algorithm
por: Homan, Skylar, et al.
Publicado: (2025)

The Case for Intent-Based Query Rewriting
por: Nicolai, Gianna Lisa, et al.
Publicado: (2025)

AuthorityBench: Benchmarking LLM Authority Perception for Reliable Retrieval-Augmented Generation
por: Yao, Zhihui, et al.
Publicado: (2026)

PeakNetFP: Peak-based Neural Audio Fingerprinting Robust to Extreme Time Stretching
por: Cortès-Sebastià, Guillem, et al.
Publicado: (2025)

Self-Aware Vector Embeddings for Retrieval-Augmented Generation: A Neuroscience-Inspired Framework for Temporal, Confidence-Weighted, and Relational Knowledge
por: Xu, Naizhong
Publicado: (2026)

HELIOS: Harmonizing Early Fusion, Late Fusion, and LLM Reasoning for Multi-Granular Table-Text Retrieval
por: Park, Sungho, et al.
Publicado: (2026)

Temporal Leakage in Search-Engine Date-Filtered Web Retrieval: A Retrospective Forecasting Case Study
por: Lahib, Ali El, et al.
Publicado: (2026)

SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and Tables
por: Park, Sungho, et al.
Publicado: (2026)

MasterSet: A Large-Scale Benchmark for Must-Cite Citation Recommendation in the AI/ML Literature
por: Ratul, Md Toyaha Rahman, et al.
Publicado: (2026)

BridgeRAG: Training-Free Bridge-Conditioned Retrieval for Multi-Hop Question Answering
por: Bacellar, Andre
Publicado: (2026)

Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
por: Iana, Andreea, et al.
Publicado: (2023)

Criteria-Based LLM Relevance Judgments
por: Farzi, Naghmeh, et al.
Publicado: (2025)

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs
por: Koutsiaris, Christos
Publicado: (2026)

Optimizing open-domain question answering with graph-based retrieval augmented generation
por: Cahoon, Joyce, et al.
Publicado: (2025)

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints
por: Liu, Jianan, et al.
Publicado: (2026)

Exact Trajectory Similarity Search With N-tree: An Efficient Metric Index for kNN and Range Queries
por: Güting, Ralf Hartmut, et al.
Publicado: (2024)

Passing the Baton: High Throughput Distributed Disk-Based Vector Search with BatANN
por: Dang, Nam Anh, et al.
Publicado: (2025)

A Robust and Efficient Pipeline for Enterprise-Level Large-Scale Entity Resolution
por: Kannangara, Sandeepa, et al.
Publicado: (2025)

WisPaper: Your AI Scholar Search Engine
por: Ju, Li, et al.
Publicado: (2025)