Cover Image

ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Keke, Shi, Yimin, Ding, Dujian, Li, Yifei, Fei, Yang, Lakshmanan, Laks, Xiao, Xiaokui
Format:	Preprint
Published:	2025
Subjects:	Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hyperparametric Robust and Dynamic Influence Maximization
by: Saha, Arkaprava, et al.
Published: (2024)

Efficient and Effective Algorithms for A Family of Influence Maximization Problems with A Matroid Constraint
by: Huang, Yiqian, et al.
Published: (2024)

OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
by: Ding, Dujian, et al.
Published: (2024)

SCOPE: Cost-Efficient Model Selection for Compound AI Systems under Quality Constraints
by: Huang, Yiqian, et al.
Published: (2026)

DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy
by: Qiu, Yuan, et al.
Published: (2026)

On Efficient Approximate Aggregate Nearest Neighbor Queries over Learned Representations
by: Wang, Carrie, et al.
Published: (2025)

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
by: Ding, Dujian, et al.
Published: (2025)

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
by: Ding, Dujian, et al.
Published: (2024)

Finding Locally Densest Subgraphs: Convex Programming with Edge and Triangle Density
by: Yang, Yi, et al.
Published: (2025)

LLM Performance Predictors are good initializers for Architecture Search
by: Jawahar, Ganesh, et al.
Published: (2023)

Topology-Aware LLM-Driven Social Simulation: A Unified Framework for Efficient and Realistic Agent Dynamics
by: Xu, Yuwei, et al.
Published: (2026)

Fast Maximum Common Subgraph Search: A Redundancy-Reduced Backtracking Approach
by: Yu, Kaiqiang, et al.
Published: (2025)

PrivPetal: Relational Data Synthesis via Permutation Relations
by: Cai, Kuntai, et al.
Published: (2025)

In-depth Analysis of Densest Subgraph Discovery in a Unified Framework
by: Zhou, Yingli, et al.
Published: (2024)

From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy
by: Ye, Qingqing, et al.
Published: (2025)

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models
by: Lin, Yin, et al.
Published: (2026)

Accurate Table Question Answering with Accessible LLMs
by: Jiang, Yangfan, et al.
Published: (2026)

LLM4Hint: Leveraging Large Language Models for Hint Recommendation in Offline Query Optimization
by: Liu, Suchen, et al.
Published: (2025)

GenRewrite: Query Rewriting via Large Language Models
by: Liu, Jie, et al.
Published: (2024)

A Query Optimization Method Utilizing Large Language Models
by: Yao, Zhiming, et al.
Published: (2025)

Can Large Language Models Be Query Optimizer for Relational Databases?
by: Tan, Jie, et al.
Published: (2025)

Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries
by: Yang, Yifei, et al.
Published: (2023)

BEACON: A Benchmark for Efficient and Accurate Counting of Subgraphs
by: Najafi, Mohammad Matin, et al.
Published: (2025)

Bootstrapping Learned Cost Models with Synthetic SQL Queries
by: Nidd, Michael, et al.
Published: (2025)

SemaSK: Answering Semantics-aware Spatial Keyword Queries with Large Language Models
by: Zhang, Zesong, et al.
Published: (2025)

Hybrid Querying Over Relational Databases and Large Language Models
by: Zhao, Fuheng, et al.
Published: (2024)

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
by: Li, Zhaodonghui, et al.
Published: (2024)

PARQO: Penalty-Aware Robust Plan Selection in Query Optimization
by: Xiu, Haibo, et al.
Published: (2024)

How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks
by: Heinrich, Roman, et al.
Published: (2025)

A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
by: Shang, Wenbo, et al.
Published: (2024)

Adaptive Cost Model for Query Optimization
by: Vasilenko, Nikita, et al.
Published: (2024)

Towards Output-Optimal Uniform Sampling and Approximate Counting for Join-Project Queries
by: Hu, Xiao, et al.
Published: (2026)

Query Performance Explanation through Large Language Model for HTAP Systems
by: Xiu, Haibo, et al.
Published: (2024)

An LLM-Guided Query-Aware Inference System for GNN Models on Large Knowledge Graphs
by: Afandi, Waleed, et al.
Published: (2026)

Evaluating SQL Understanding in Large Language Models
by: Rahaman, Ananya, et al.
Published: (2024)

Query Refinement for Diverse Top-$k$ Selection
by: Campbell, Felix S., et al.
Published: (2024)

Delta: A Learned Mixed Cost-based Query Optimization Framework
by: Peng, Jiazhen, et al.
Published: (2025)

PLOP: Cost-Based Placement of Semantic Operators in Hybrid Query Plans
by: Mang, Qiuyang, et al.
Published: (2026)

NeurStore: Efficient In-database Deep Learning Model Management System
by: Xiang, Siqi, et al.
Published: (2025)

The Unreasonable Effectiveness of LLMs for Query Optimization
by: Akioyamen, Peter, et al.
Published: (2024)