#WebThinker
WebThinker

Empowering Large Reasoning Models with Deep Research Capability.

https://github.com/RUC-NLPIR/WebThinker
May 16, 2025 at 1:15 AM
One-Minute Daily AI News 5/6/2025

AI of dead Arizona road rage victim addresses killer in court.[1] Anthropic launches a program to support scientific research.[2] Reddit will tighten verification to keep out human-like AI bots.[3] This AI Paper Introduce WebThinker: A Deep Research Agent that…
One-Minute Daily AI News 5/6/2025
AI of dead Arizona road rage victim addresses killer in court.[1] Anthropic launches a program to support scientific research.[2] Reddit will tighten verification to keep out human-like AI bots.[3] This AI Paper Introduce WebThinker: A Deep Research Agent that Empowers Large Reasoning Models (LRMs) for Autonomous Search and Report Generation.[4] Sources: [1] [2] [3] [4]
bushaicave.com
May 7, 2025 at 4:52 AM
WebThinker:赋能大型推理模型的深度科研新利器

https://qian.cx/posts/769E8383-700A-4DAC-9BBF-9BFA0AE57D08
May 27, 2025 at 5:39 AM
WebThinker

WebThinker is a deep research agent that enhances large reasoning models (LRMs) by enabling them to autonomously search the web, navigate pages, and write research reports in real time—overcoming the limitations of static internal knowledge.
May 3, 2025 at 9:14 PM
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- WebThinker: Empowering Large Reasoning Models with Deep Research Capability
May 3, 2025 at 9:14 PM
December 5, 2025 at 9:13 PM
[2504.21776] WebThinker: Empowering Large Reasoning Models with Deep Research Capability arxiv.org/abs/2504.217...
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Large reasoning models (LRMs), such as OpenAI-o1 and DeepSeek-R1, demonstrate impressive long-horizon reasoning capabilities. However, their reliance on static internal knowledge limits their performa...
arxiv.org
May 13, 2025 at 2:21 AM
Xiaoxi Li, Jiajie Jin, Guanting Dong, Hongjin Qian, Yutao Zhu, Yongkang Wu, Ji-Rong Wen, Zhicheng Dou
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
https://arxiv.org/abs/2504.21776
May 1, 2025 at 4:21 AM
WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Enhances LLMs with autonomous web search & navigation to overcome knowledge limitations.

📝 arxiv.org/abs/2504.217...
👨🏽‍💻 github.com/RUC-NLPIR/We...
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Large reasoning models (LRMs), such as OpenAI-o1 and DeepSeek-R1, demonstrate impressive long-horizon reasoning capabilities. However, their reliance on static internal knowledge limits their performa...
arxiv.org
May 1, 2025 at 3:00 AM
WebThinker 2025: Revolutioniert die KI-Forschung!

Autonome Web-Exploration
Echtzeit Denk- und Schreibprozesse
Übertrifft bestehende Systeme

#ai #ki #artificialintelligence #WebThinker #DeepResearch #AutonomeSysteme

Jetzt LIKEN, teilen, LESEN und FOLGEN!

kinews24.de/webthinker-d...
WebThinker 2025: Massiver Fortschritt für die KI-Forschung
WebThinker, LRMs & Deep Research: Erfahre, wie dieser Agent 2025 die KI-Forschung revolutioniert durch autonome Websuche und Berichterstellung! Jetzt lesen!
kinews24.de
May 12, 2025 at 8:48 AM
@rohanpaul_ai https://x.com/rohanpaul_ai/status/1922612103266914582 #x-rohanpaul_ai

WebThinker enables Large reasoning models to dynamically search the web, navigate pages, and extract information during reasoning.

It also lets models draft reports simultaneously with thinking and s...
May 14, 2025 at 11:45 AM
@rohanpaul_ai https://x.com/rohanpaul_ai/status/1922421597396467964 #x-rohanpaul_ai

Large reasoning models' static knowledge limits their performance on complex tasks requiring deep web research and synthesis.

WebThinker solves this by empowering these models to autonomously search ...
May 13, 2025 at 11:00 PM
versatile deep research systems. The code is available at https://github.com/RUC-NLPIR/WebThinker. [7/7 of https://arxiv.org/abs/2504.21776v1]
May 1, 2025 at 6:02 AM
generation tasks (Glaive) demonstrate that WebThinker significantly outperforms existing methods and strong proprietary systems. Our approach enhances LRM reliability and applicability in complex scenarios, paving the way for more capable and [6/7 of https://arxiv.org/abs/2504.21776v1]
May 1, 2025 at 6:02 AM
LRMs to autonomously search the web, navigate web pages, and draft research reports during the reasoning process. WebThinker integrates a \textbf{Deep Web Explorer} module, enabling LRMs to dynamically search, navigate, and extract information from [3/7 of https://arxiv.org/abs/2504.21776v1]
May 1, 2025 at 6:02 AM
performance on complex, knowledge-intensive tasks and hinders their ability to produce comprehensive research reports requiring synthesis of diverse web information. To address this, we propose \textbf{WebThinker}, a deep research agent that empowers [2/7 of https://arxiv.org/abs/2504.21776v1]
May 1, 2025 at 6:02 AM
Xiaoxi Li, Jiajie Jin, Guanting Dong, Hongjin Qian, Yutao Zhu, Yongkang Wu, Ji-Rong Wen, Zhicheng Dou: WebThinker: Empowering Large Reasoning Models with Deep Research Capability https://arxiv.org/abs/2504.21776 https://arxiv.org/pdf/2504.21776 https://arxiv.org/html/2504.21776
May 1, 2025 at 6:02 AM
This AI Paper Introduce WebThinker: A Deep Research Agent that Empowers Large Reasoning Models (L […]

[Original post on marktechpost.com]
May 7, 2025 at 4:48 AM
Advance AI: WebThinker AI Research Agent Helps Train LLMs

Conventional humans believe AIs scrap data from internet, which not been the case for a while. Now WebThinker, AI agents using reasoning read data, analyze data, write reports and prepare data for large scale AIs.🙂 arxiv.org/abs/2504.21776
June 8, 2025 at 12:19 PM