BestHub
Sign in
Tagged articles

Deep Research

21 articles · Page 1 of 1
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Jul 3, 2026 · Artificial Intelligence

Deep Research Series: 12 Articles From the Basic Loop to the First Training Review

This article reorganizes a 12‑part Deep Research Agent series into a logical learning path, summarizing each part’s problem, key solutions, and practical takeaways—from building a runnable loop and handling tool failures to data construction, context management, and training evaluation.

Context managementDeep ResearchInference Optimization
0 likes · 12 min read
Deep Research Series: 12 Articles From the Basic Loop to the First Training Review
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Jun 24, 2026 · Artificial Intelligence

Why Public QA Datasets Fail for Deep Research Agents—and How to Build Effective Training Data

The article explains that single‑ or two‑hop QA datasets cannot teach Deep Research agents multi‑step reasoning, outlines four mainstream data‑construction methods, describes trajectory sampling with a three‑stage funnel filter, and shares practical guidelines on data volume, difficulty distribution, question types, and common pitfalls.

AI Agent TrainingData ConstructionDeep Research
0 likes · 32 min read
Why Public QA Datasets Fail for Deep Research Agents—and How to Build Effective Training Data
Old Zhang's AI Learning
Old Zhang's AI Learning
May 2, 2026 · Artificial Intelligence

Andrew Ng’s AI Prompting Course: Deep Research, Writing, Data Analysis

The review dissects Andrew Ng’s 2026 “AI Prompting for Everyone” course, outlining its three modules—information retrieval tiers, AI‑assisted writing with progressive outlining, and building apps or analyzing data via code execution—while highlighting the Deep Research agentic loop, AI‑slop detection, and a decision‑tree for choosing the right AI tool.

AI promptingAI writingCode Execution
0 likes · 12 min read
Andrew Ng’s AI Prompting Course: Deep Research, Writing, Data Analysis
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Apr 28, 2026 · Artificial Intelligence

Why Bigger Context Fails for Deep Research Agents and How IterResearch Fixes It

Interviewers point out that simply enlarging the LLM’s context window cannot prevent forgetting early conclusions in long‑step Deep Research tasks; the article explains the ReAct context issues, introduces the IterResearch framework with evolving reports, and compares its accuracy, cost, and scalability against ReAct and ReSum.

Context managementDeep ResearchIterResearch
0 likes · 17 min read
Why Bigger Context Fails for Deep Research Agents and How IterResearch Fixes It
SuanNi
SuanNi
Apr 23, 2026 · Artificial Intelligence

How Gemini 3.1 Deep Research Max Turns AI Agents into Enterprise Workflow Foundations

Google's Gemini 3.1 Pro introduces Dual‑track Deep Research agents—speed‑optimized Deep Research and thorough Deep Research Max—capable of merging public web data with private enterprise sources, generating native charts, and delivering transparent, controllable reports that serve as a solid foundation for finance, life‑science, and market‑research workflows.

AI AgentsBenchmarkDeep Research
0 likes · 7 min read
How Gemini 3.1 Deep Research Max Turns AI Agents into Enterprise Workflow Foundations
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 18, 2026 · Artificial Intelligence

From Passive Exposure to Active Decision Assistant: Deep Research Framework for Recommenders

The paper introduces the Deep Research paradigm and the RecPilot multi‑agent framework, which transform traditional list‑based recommender systems into proactive decision‑support assistants that simulate user exploration, generate structured reports, and demonstrably outperform existing baselines on TMALL data.

Deep ResearchLLMMulti-Agent
0 likes · 10 min read
From Passive Exposure to Active Decision Assistant: Deep Research Framework for Recommenders
Data STUDIO
Data STUDIO
Apr 14, 2026 · Artificial Intelligence

Can ChatGPT Deep Research Double Your Research Efficiency?

The article explains how ChatGPT Deep Research transforms ordinary web searches into full‑fledged research reports, compares three leading Deep Research tools, outlines nine practical use cases, warns of common pitfalls, and offers prompt‑engineering tips for both individual and enterprise adoption.

AI researchChatGPTDeep Research
0 likes · 16 min read
Can ChatGPT Deep Research Double Your Research Efficiency?
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 17, 2026 · Artificial Intelligence

From Lists to Decision Reports: The Deep Research Framework for Recommender Systems

The paper introduces Deep Research for Recommender Systems, a multi‑agent framework called RecPilot that replaces traditional list‑based recommendations with AI‑driven exploration, trajectory simulation, and structured decision‑support reports, and demonstrates its superiority on TMALL data through extensive trajectory and report‑generation evaluations.

Deep ResearchLLMMulti-Agent
0 likes · 10 min read
From Lists to Decision Reports: The Deep Research Framework for Recommender Systems
PaperAgent
PaperAgent
Jan 24, 2026 · Artificial Intelligence

How a Local 8B LLM Beats Closed‑Source Giants in Deep Research

AgentCPM-Report is a locally deployable, privacy‑preserving AI agent that matches or exceeds the performance of top closed‑source large‑model systems on deep‑research benchmarks, offering end‑to‑end report generation without uploading any confidential data to the cloud.

AI AgentBenchmarkDeep Research
0 likes · 8 min read
How a Local 8B LLM Beats Closed‑Source Giants in Deep Research
PaperAgent
PaperAgent
Dec 1, 2025 · Artificial Intelligence

How Deep Research Turns LLMs into Autonomous AI Scientists

This article surveys the emerging Deep Research (DR) paradigm that upgrades large language models into research agents capable of autonomous planning, multi‑source evidence gathering, memory management, and verifiable long‑form report generation, outlining its stages, core components, training pipeline, and evaluation benchmarks.

AI AgentsAI research automationDeep Research
0 likes · 6 min read
How Deep Research Turns LLMs into Autonomous AI Scientists
BirdNest Tech Talk
BirdNest Tech Talk
Nov 26, 2025 · Artificial Intelligence

Unlock Framework‑Less Deep Research AI with GoSkills Agent in Pure Go

GoSkills Agent is a lightweight, framework‑less Go implementation of a Deep Research AI assistant that combines autonomous planning, real‑time web search, intelligent analysis, and markdown reporting, offering a fully native CLI experience with clear architecture and extensible components.

AI AgentCLIDeep Research
0 likes · 9 min read
Unlock Framework‑Less Deep Research AI with GoSkills Agent in Pure Go
AI Large Model Application Practice
AI Large Model Application Practice
Oct 3, 2025 · Artificial Intelligence

Test‑Time Diffusion Deep Research (TTD‑DR): How AI Agents Mimic Human Research Cycles

The article explains Google’s Test‑Time Diffusion Deep Research (TTD‑DR) paradigm, which adds iterative draft‑refinement and self‑evolution to AI agents, enabling multi‑step web retrieval, continuous “denoising” of drafts, and superior research reports compared with first‑generation Deep Research systems.

AI AgentsDeep Researchiterative retrieval
0 likes · 11 min read
Test‑Time Diffusion Deep Research (TTD‑DR): How AI Agents Mimic Human Research Cycles
Tencent Technical Engineering
Tencent Technical Engineering
Aug 8, 2025 · Artificial Intelligence

Which Open‑Source Deep‑Research Agent Framework Is Best? A Comprehensive Comparison

This article systematically compares major open‑source deep‑research agent frameworks—including DeerFlow, SmolAgents, LangChainAI, SkyworkAI, and Researcher—detailing their architectures, best practices, and commercial alternatives, to help developers and users choose the most suitable tool for automated research workflows.

AI automationDeep ResearchLLM
0 likes · 27 min read
Which Open‑Source Deep‑Research Agent Framework Is Best? A Comprehensive Comparison
JavaEdge
JavaEdge
May 30, 2025 · Artificial Intelligence

How to Build a Deep Research Workflow in Dify Using AI Agents

This guide explains how to construct a deep research workflow in Dify that leverages AI agents, loop variables, and structured outputs to automatically explore complex topics, gather sources, and synthesize comprehensive reports with proper citations.

AI workflowAgentDeep Research
0 likes · 9 min read
How to Build a Deep Research Workflow in Dify Using AI Agents
Alimama Tech
Alimama Tech
May 14, 2025 · Artificial Intelligence

Deep Research‑Driven Risk Root‑Cause Analysis with Domain Graph Constraints for Large‑Scale Advertising Traffic

This article presents a large‑scale advertising risk‑control solution that combines deep‑research paradigms, domain‑graph constraints, and large language models to enable explainable, responsible, and high‑precision fraud detection, detailing system architecture, challenges, demo workflow, and future directions.

AIDeep ResearchLarge Language Model
0 likes · 11 min read
Deep Research‑Driven Risk Root‑Cause Analysis with Domain Graph Constraints for Large‑Scale Advertising Traffic
DataFunTalk
DataFunTalk
Feb 4, 2025 · Artificial Intelligence

OpenAI Introduces ChatGPT Deep Research Agent for In‑Depth, Cited Research

OpenAI has launched the ChatGPT Deep Research agent, a new AI tool designed to help professionals conduct intensive, multi‑source research by providing comprehensive, cited answers, initially available to Pro users with plans to expand to Plus, Team, and Enterprise tiers.

Artificial IntelligenceChatGPTDeep Research
0 likes · 6 min read
OpenAI Introduces ChatGPT Deep Research Agent for In‑Depth, Cited Research
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Feb 3, 2025 · Artificial Intelligence

How OpenAI’s New Deep Research Model Aims to Redefine Search and Outpace DeepSeek

OpenAI unveiled Deep Research, an end‑to‑end reinforcement‑learning model built on the o3 architecture that claims deeper problem decomposition, longer response times, modular information discovery, integration, reasoning and output capabilities, and benchmark scores that surpass DeepSeek and rival Google Gemini, while also acknowledging current accuracy and hallucination challenges.

Artificial IntelligenceBenchmarkDeep Research
0 likes · 12 min read
How OpenAI’s New Deep Research Model Aims to Redefine Search and Outpace DeepSeek