Cover Image

AutoData: A Multi-Agent System for Open Web Data Collection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Tianyi, Qian, Yiyue, Zhang, Zheyuan, Wang, Zehong, Qian, Xiaoye, Bai, Feifan, Ding, Yifan, Luo, Xuwei, Zhang, Shinan, Murugesan, Keerthiram, Zhang, Chuxu, Ye, Yanfang
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LongDA: Benchmarking LLM Agents for Long-Document Data Analysis
by: Li, Yiyang, et al.
Published: (2026)

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
by: Zhang, Zheyuan, et al.
Published: (2024)

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
by: Ma, Tianyi, et al.
Published: (2025)

BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
by: Ma, Tianyi, et al.
Published: (2026)

Adaptive Expansion for Hypergraph Learning
by: Ma, Tianyi, et al.
Published: (2025)

OPBench: A Graph Benchmark to Combat the Opioid Crisis
by: Ma, Tianyi, et al.
Published: (2026)

AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
by: Zhang, Zheyuan, et al.
Published: (2025)

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
by: Li, Yiyang, et al.
Published: (2025)

NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
by: Shi, Kaiwen, et al.
Published: (2025)

Generative Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

Subgraph Pooling: Tackling Negative Transfer on Graphs
by: Wang, Zehong, et al.
Published: (2024)

Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)

SimMLP: Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)

Can LLMs Convert Graphs to Text-Attributed Graphs?
by: Wang, Zehong, et al.
Published: (2024)

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)

Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)

GFT: Graph Foundation Model with Transferable Tree Vocabulary
by: Wang, Zehong, et al.
Published: (2024)

DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward
by: Zhang, Yi, et al.
Published: (2025)

MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems
by: Zhang, Yi, et al.
Published: (2025)

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
by: Zhang, Zheyuan, et al.
Published: (2024)

AutoPureData: Automated Filtering of Undesirable Web Data to Update LLM Knowledge
by: Vadlapati, Praneeth
Published: (2024)

CollabEval: Enhancing LLM-as-a-Judge via Multi-Agent Collaboration
by: Qian, Yiyue, et al.
Published: (2026)

Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata
by: Yuan, Zhengqing, et al.
Published: (2025)

EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering
by: Huang, Jiatan, et al.
Published: (2026)

FBAdtTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements
by: Jeong, Ujun, et al.
Published: (2021)

AdaQE-CG: Adaptive Query Expansion for Web-Scale Generative AI Model and Data Card Generation
by: Zhang, Haoxuan, et al.
Published: (2026)

Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search
by: Feng, Yu, et al.
Published: (2025)

Decoding TRON: A Comprehensive Framework for Large-Scale Blockchain Data Extraction and Exploration
by: Mao, Qian'ang, et al.
Published: (2025)

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)

Internalizing Multi-Agent Reasoning for Accurate and Efficient LLM-based Recommendation
by: Wu, Yang, et al.
Published: (2026)

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
by: Geng, Xinyu, et al.
Published: (2025)

Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users
by: Zeng, Guohang, et al.
Published: (2024)

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation
by: Wang, Yifan, et al.
Published: (2025)

OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG
by: Mo, Fengran, et al.
Published: (2026)

Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
by: Zhang, Moyu, et al.
Published: (2025)

How Reliable Are Semantic-ID Tokenizer Comparisons in Generative Recommendation?
by: Zhang, Qian, et al.
Published: (2026)

Efficient Crawling for Scalable Web Data Acquisition (Extended Version)
by: Gauquier, Antoine, et al.
Published: (2026)

MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
by: Zhang, Zheyuan, et al.
Published: (2025)

Shapley Value-driven Data Pruning for Recommender Systems
by: Zhang, Yansen, et al.
Published: (2025)

SODIUM: From Open Web Data to Queryable Databases
by: Hu, Chuxuan, et al.
Published: (2026)