OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Yuwen, Ye, Rui, Tang, Shuo, Zhu, Xinyu, Lu, Yijun, Cai, Yuzhu, Chen, Siheng
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories
by: Du, Yuwen, et al.
Published: (2026)

LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents
by: Lu, Yijun, et al.
Published: (2026)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
by: Ye, Rui, et al.
Published: (2025)

Open Deep Search: Democratizing Search with Open-source Reasoning Agents
by: Alzubi, Salaheddin, et al.
Published: (2025)

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
by: Tang, Shuo, et al.
Published: (2024)

SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?
by: Chai, Jingyi, et al.
Published: (2025)

Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models
by: Cai, Yuzhu, et al.
Published: (2024)

ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
by: Liu, Zexi, et al.
Published: (2025)

OKBench: Democratizing LLM Evaluation with Fully Automated, On-Demand, Open Knowledge Benchmarking
by: Li, Yanhong, et al.
Published: (2025)

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
by: Ye, Rui, et al.
Published: (2024)

BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair
by: Pang, Xianghe, et al.
Published: (2025)

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework
by: Huang, Lisheng, et al.
Published: (2025)

QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks
by: Xie, Jian, et al.
Published: (2026)

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering
by: Mei, Jianbiao, et al.
Published: (2025)

Toxicity of the Commons: Curating Open-Source Pre-Training Data
by: Arnett, Catherine, et al.
Published: (2024)

Agent Lumos: Unified and Modular Training for Open-Source Language Agents
by: Yin, Da, et al.
Published: (2023)

Compute-Accuracy Pareto Frontiers for Open-Source Reasoning Large Language Models
by: Prucs, Ákos, et al.
Published: (2025)

Tulu 3: Pushing Frontiers in Open Language Model Post-Training
by: Lambert, Nathan, et al.
Published: (2024)

SWE-Dev: Evaluating and Training Autonomous Feature-Driven Software Development
by: Du, Yaxin, et al.
Published: (2025)

Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources
by: Wang, Weizhi, et al.
Published: (2025)

AgentFrontier: Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis
by: Chen, Xuanzhong, et al.
Published: (2025)

Closing the Data Loop: Using OpenDataArena to Engineer Superior Training Datasets
by: Gao, Xin, et al.
Published: (2025)

DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data
by: Venus Team, et al.
Published: (2026)

The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition
by: Tan, Yuwen, et al.
Published: (2025)

Self-Evolving Multi-Agent Collaboration Networks for Software Development
by: Hu, Yue, et al.
Published: (2024)

OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data
by: Toshniwal, Shubham, et al.
Published: (2024)

Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
by: Golde, Jonas, et al.
Published: (2023)

OpenS2S: Advancing Fully Open-Source End-to-End Empathetic Large Speech Language Model
by: Wang, Chen, et al.
Published: (2025)

SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
by: Xie, Chengxing, et al.
Published: (2025)

OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
by: Zhang, Kaichen, et al.
Published: (2025)

MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data
by: Han, Tianyu, et al.
Published: (2023)

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
by: Du, Yaxin, et al.
Published: (2025)

OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence
by: Liu, Jianhui, et al.
Published: (2026)

FANNO: Augmenting High-Quality Instruction Data with Open-Sourced LLMs Only
by: Zhu, He, et al.
Published: (2024)

OpenSearch-VL: An Open Recipe for Frontier Multimodal Search Agents
by: Chen, Shuang, et al.
Published: (2026)

Loki: An Open-Source Tool for Fact Verification
by: Li, Haonan, et al.
Published: (2024)

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
by: Lu, Chris, et al.
Published: (2024)

AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese
by: Simplício, Afonso, et al.
Published: (2026)

CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models
by: Sheikh, Zaid, et al.
Published: (2024)

Tulu 3: Pushing Frontiers in Open Language Model Post-Training
by: Lambert, N., et al.
Published: (2025)