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research methodology

24 articles · Page 1 of 1
Wuming AI
Wuming AI
Sep 21, 2026 · Artificial Intelligence

Codex vs AnySearch: Why Source Quality Beats Answer Fluency in AI Research

The author compares Codex's built-in search with AnySearch MCP for researching Forward Deployed Engineer roles, finding that while both produce plausible answers, AnySearch delivers higher-quality primary sources, better deduplication, structured data extraction, and faster task completion, proving search tool choice critically impacts research reliability.

AI search toolsAnySearch MCPCodex
0 likes · 9 min read
Codex vs AnySearch: Why Source Quality Beats Answer Fluency in AI Research
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Jul 6, 2026 · R&D Management

How to Address Reviewer Comments About Insufficient Theoretical Analysis

The article explains why simply citing strong experimental results does not satisfy reviewers who question a method's theoretical justification, and provides a structured rebuttal strategy that clarifies core mechanisms, underlying assumptions, and the method's applicability limits.

academic writingpaper rebuttalresearch methodology
0 likes · 5 min read
How to Address Reviewer Comments About Insufficient Theoretical Analysis
Thought Artisan
Thought Artisan
May 10, 2026 · R&D Management

Software Engineering Research in the Agent Era: Complexity, Knowledge, and Harness Engineering

The article explores how software engineering research is shifting from human-centered to agent-centered development (Harness Engineering), identifying key research questions around software complexity characterization, machine-readable knowledge representation, agent team collaboration, and adapting traditional SE theories, while advising against investing in generic agent frameworks already dominated by large companies.

AI agentsHarness EngineeringSoftware Engineering
0 likes · 5 min read
Software Engineering Research in the Agent Era: Complexity, Knowledge, and Harness Engineering
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Apr 7, 2026 · Artificial Intelligence

From Engine Tinkerer to Top AI Agent: How Zhang Xue Built a Groundbreaking Agent Without Reading a Single AI Paper

The article uses Zhang Xue’s 20‑year engine‑building journey to illustrate five concrete standards—novel contribution, reproducibility, ablation, impact, and paradigm shift—that separate truly transformative AI papers from incremental work, arguing that rigorous, reductionist engineering can change the world.

Paradigm Shiftnovel contributionreproducibility
0 likes · 18 min read
From Engine Tinkerer to Top AI Agent: How Zhang Xue Built a Groundbreaking Agent Without Reading a Single AI Paper
Data Party THU
Data Party THU
Oct 18, 2025 · Artificial Intelligence

What Happens When a Fields Medalist Teams Up with ChatGPT‑5? An AI‑Assisted Geometry Case Study

Renowned mathematician Terence Tao experiments with ChatGPT‑5 Pro on a bounded‑curvature sphere problem, revealing how AI excels at detailed calculations, offers concise proofs, yet struggles with strategic guidance and subtle geometric assumptions, highlighting both the promise and limits of AI in advanced mathematical research.

AIChatGPTDifferential Geometry
0 likes · 10 min read
What Happens When a Fields Medalist Teams Up with ChatGPT‑5? An AI‑Assisted Geometry Case Study
Model Perspective
Model Perspective
Sep 2, 2025 · Fundamentals

How to Write a Winning CUMCM Modeling Competition Paper: Step-by-Step Guide

This guide outlines the essential structure, logical flow, common pitfalls, and improvement tips for crafting a clear, concise, and compelling paper in the National Undergraduate Mathematical Modeling Contest, helping teams maximize their scores and showcase their research effectively.

CUMCMacademic guidemodeling competition
0 likes · 9 min read
How to Write a Winning CUMCM Modeling Competition Paper: Step-by-Step Guide
Model Perspective
Model Perspective
Jul 20, 2025 · Fundamentals

Why Hidden Assumptions Undermine Every Mathematical Model

Mathematical modeling hinges on explicit assumptions, yet in real discussions people often overlook these hidden premises, leading to contradictory conclusions; recognizing, stating, and testing assumptions against model structures is essential to ensure reliability and avoid logical gaps.

assumptionslogicmathematical modeling
0 likes · 4 min read
Why Hidden Assumptions Undermine Every Mathematical Model
NewBeeNLP
NewBeeNLP
Jan 14, 2025 · R&D Management

How to Kickstart Your CS Research Journey and Find LLM Serving Ideas

The author shares a candid half‑year reflection on entering computer‑science research, outlining practical steps for discovering research ideas, navigating papers, focusing on LLM serving systems, and emphasizing collaboration to help newcomers succeed in academia.

LLM servingSystem Designacademic journey
0 likes · 9 min read
How to Kickstart Your CS Research Journey and Find LLM Serving Ideas
Model Perspective
Model Perspective
Jan 3, 2024 · Fundamentals

How Randomized Controlled Trials Reveal True Causality

Randomized Controlled Trials (RCTs) are considered the gold standard for establishing causal relationships because randomization balances known and unknown confounders, control groups provide clear comparisons, and reproducibility ensures reliable results, though practical limitations like cost and ethics often require alternative observational methods.

experimental designrandomized controlled trialsresearch methodology
0 likes · 7 min read
How Randomized Controlled Trials Reveal True Causality
Model Perspective
Model Perspective
Jan 2, 2024 · Fundamentals

How Empirical Research Transforms Knowledge: A Step‑by‑Step Guide

Empirical research, a systematic method that relies on real data and observation rather than theory alone, follows a clear process—from defining questions and hypotheses, collecting and cleaning data, selecting analysis techniques, to interpreting results and reporting findings—illustrated by the classic Pygmalion Effect study.

Data AnalysisPygmalion Effectempirical research
0 likes · 6 min read
How Empirical Research Transforms Knowledge: A Step‑by‑Step Guide
JD.com Experience Design Center
JD.com Experience Design Center
Apr 13, 2023 · Fundamentals

How to Build a Complete Interview Guide for New User Researchers

This article explains why interview guides are essential for novice user researchers, outlines the fundamentals of qualitative research, and provides a step‑by‑step framework—including structure, content, and phrasing—to create comprehensive, efficient, and data‑rich interview outlines.

UXinterview guidequalitative interview
0 likes · 9 min read
How to Build a Complete Interview Guide for New User Researchers
Model Perspective
Model Perspective
Nov 3, 2022 · Fundamentals

Why Restating the Problem Is Essential for Successful Modeling

Restating the problem helps modelers clarify their own understanding, reveal differing interpretations among peers, and provide a solid foundation for subsequent analysis, making it a vital first step in any modeling competition or research project.

academic writingcommunicationmodeling competition
0 likes · 5 min read
Why Restating the Problem Is Essential for Successful Modeling
Model Perspective
Model Perspective
Apr 30, 2022 · Fundamentals

Why Restating the Problem Boosts Modeling Success

Restating the problem in modeling competition papers clarifies differing interpretations, guides solution direction, and enhances communication, making it a crucial first step for both authors and readers to understand and evaluate the modeling work effectively.

Analysisacademic writingmodeling competition
0 likes · 4 min read
Why Restating the Problem Boosts Modeling Success
网易UEDC
网易UEDC
Nov 19, 2019 · Fundamentals

Why Traditional Sampling Fails for Niche Communities and How Respondent‑Driven Sampling Solves It

The article explains the limitations of probability sampling for small or hidden sub‑cultures, introduces respondent‑driven sampling (RDS) as a network‑based alternative, and outlines its theoretical basis, advantages, and step‑by‑step implementation for more accurate research on hidden populations.

Social Network Analysishidden populationsresearch methodology
0 likes · 9 min read
Why Traditional Sampling Fails for Niche Communities and How Respondent‑Driven Sampling Solves It
JD.com Experience Design Center
JD.com Experience Design Center
Jun 28, 2019 · R&D Management

How Cognitive Biases Skew User Research—and How to Counteract Them

This article explains common cognitive biases that affect user research—such as friendliness, social desirability, bandwagon, Hawthorne, anchoring, and peak‑end effects—and provides practical strategies like combining backend data, reducing participant concerns, minimizing external influences, and probing deeper to obtain more reliable, objective insights.

Bias MitigationR&DUX
0 likes · 11 min read
How Cognitive Biases Skew User Research—and How to Counteract Them
网易UEDC
网易UEDC
Jan 26, 2018 · Product Management

Why Becoming a Full‑Value‑Chain Researcher Is Essential for Modern Product Professionals

The article introduces the concept of a full‑value‑chain researcher, explains why traditional design roles are becoming obsolete, outlines the three‑level value chain (industry, company, product, user), and offers practical steps and skills needed to evolve into this role for lasting career growth.

Value Chaincareer developmentproduct management
0 likes · 13 min read
Why Becoming a Full‑Value‑Chain Researcher Is Essential for Modern Product Professionals
Model Perspective
Model Perspective
Mar 7, 2016 · Fundamentals

Redefining Mathematical Modeling Examples: A Literature Review and Research Roadmap

This article reflects on the author’s thesis preparation, offering a detailed literature review of mathematical modeling concepts, analyzing the definition of modeling examples in high‑school textbooks, and outlining a three‑step research plan to evaluate and classify such examples for future educational design.

example analysishigh school educationliterature review
0 likes · 9 min read
Redefining Mathematical Modeling Examples: A Literature Review and Research Roadmap
Model Perspective
Model Perspective
Mar 4, 2016 · Fundamentals

How to Analyze Math Modeling Examples in High School Textbooks: A Research Roadmap

This article chronicles the author's two‑month journey of preparing for a math modeling competition, reviewing literature, and outlining a detailed plan to analyze and evaluate example problems on mathematical modeling within the People’s Education Press high school mathematics textbook.

Math Modelinghigh school mathematicsresearch methodology
0 likes · 8 min read
How to Analyze Math Modeling Examples in High School Textbooks: A Research Roadmap
Model Perspective
Model Perspective
Feb 23, 2016 · Fundamentals

Why My Articles Lack References: Lessons on Academic Writing Basics

The author reflects on why their public articles omit references, contrasts personal writing habits with formal academic paper processes, and explains the importance of citing sources and distinguishing heuristic versus problem‑oriented references to strengthen scholarly credibility.

academic writingarticle vs paperreferences
0 likes · 4 min read
Why My Articles Lack References: Lessons on Academic Writing Basics