리서치·학습 스킬

Check a paper’s numbers, comparisons, and evaluation scope against raw experiment files. A fresh reviewer receives only source evidence and paper files, then reports discrepancies in rounding, aggregation, settings, and reported improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Verify reported numbers before paper submission
• Check averages and counts across experiment runs
• Recalculate claimed percentage improvements

Reviews research ideas, papers, and experimental results through repeated critical discussion. Identifies unsupported claims, missing experiments, and weaknesses in the paper’s story, then records agreed conclusions, evidence requirements, and prioritized improvements in a review document.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing research claims before submission
• Planning the minimum additional experiments
• Matching possible results to defensible claims

Develop a vague research approach into a concrete method proposal through repeated Gemini reviews. Keep the original problem and constraints in focus while specifying implementation details, removing unnecessary components, and outlining the minimum experiments needed to test the claims.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a vague research approach into a concrete method
• Keeping revisions aligned with the original problem
• Simplifying an overly complex research proposal

Draft a research paper section by section in LaTeX, a document typesetting format, using an outline and research materials. Apply venue formatting, incorporate figures, verify bibliography records, and check that repeated theoretical statements agree.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting paper sections from an outline and research findings
• Applying conference or IEEE paper formatting
• Checking bibliography metadata and removing uncited entries

Coordinate a research project from a broad topic through literature review, idea selection, experiments, and iterative review. Produce a research summary for writing, with optional paper drafting and PDF compilation, while recording stage progress for later resumption.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Taking a broad research topic through experiments and review
• Coordinating experiment implementation and result collection
• Preparing an evidence-based handoff for paper writing

Organize paper reviews into individual concerns and draft responses within venue limits. Track evidence, unanswered issues, and approved commitments, then produce reviewer replies and a revision checklist that can be updated during follow-up rounds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning responses to multiple reviewers
• Drafting a rebuttal within a character limit
• Preparing separate replies for reviewer threads

Turn a vague research approach into a concrete method proposal with focused contributions and minimal validation experiments. Ground the plan in relevant papers, then refine it through GPT-6-Astra reviews while preserving the original problem and resource constraints.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a rough research idea into an implementable method
• Simplify a proposal with too many components
• Clarify novelty against related research

Evaluate whether completed experiments support a research claim by checking cited evidence and requesting a Codex review. Identify unsupported conclusions, missing comparisons, and needed revisions, then determine whether to add experiments, change direction, or prepare for writing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking claims before writing a paper
• Interpreting ambiguous experiment results
• Planning experiments to fill evidence gaps

Check experimental results before making research claims. A fresh reviewer examines reference data, score calculations, result files, and evaluation scope, then produces an evidence-based report showing which claims are supported and which need qualification.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking results before writing a paper
• Verifying reference data and score calculations
• Matching reported numbers to result files

Plan and run ablation studies, experiments that remove or replace parts of a method to test their contribution. Organize reviewer questions, priorities, expected outcomes, and compute costs, then record results and findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Test how much each component contributes
• Plan experiments that address reviewer questions
• Prioritize comparisons within a compute budget

Prepare a polished paper for a different venue by addressing prior reviewer concerns through limited text edits. Adapt formatting, check page limits and anonymity, and preserve earlier submissions without adding experiments or changing the bibliography.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resubmitting a rejected paper to a different venue
• Addressing reviewer concerns through text edits
• Adapting a paper to a shorter page limit

Improve research code, results, and paper drafts through repeated review by a second Codex agent. The workflow implements fixes, checks them again, and records assessments and unresolved issues across up to four rounds.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve research before submitting a paper
• Repeat fixes and reviews of experimental results
• Track unresolved concerns across review rounds

Turn a rough research approach into a focused plan with concrete implementation details and a small set of validation experiments. Repeated Claude reviews help refine the method while keeping the original problem and resource constraints in view.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a rough research idea into an implementable method
• Narrowing a proposal to one main contribution
• Choosing minimal experiments to test core claims

Develop mathematical proofs for machine learning and AI theory by checking assumptions, intermediate results, and edge cases. Produce a complete proof, a corrected claim with its proof, or a report explaining the unresolved gap.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Draft a proof of a theorem or lemma
• Expand a proof sketch into justified steps
• Check for hidden assumptions and counterexamples

Turn a broad research direction into ranked ideas, a refined proposal, and an experiment plan. The workflow combines literature searches, novelty checks, small pilot experiments, and Gemini review to assess evidence and identify useful next steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore concrete ideas within a broad research topic
• Check how proposed ideas differ from prior work
• Compare promising ideas through small pilot experiments

Search patent databases and academic literature for earlier disclosures related to an invention. The workflow extracts technical features, compares overlapping approaches, and produces a report on relevant references, potential patent coverage, and areas where novelty may be strongest.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find patents and papers related to an invention
• Compare technical features with existing disclosures
• Identify potential overlap with patent claims

Manage mathematical proof work across separate runs, preserving sources, established results, and unresolved steps. Attempt and audit proofs locally, prepare focused manual GPT Pro handoffs when blocked, and check returned answers before producing a clearer final proof.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Continuing proof work from a previous run
• Preparing a focused GPT Pro handoff
• Checking a returned proof against local sources

Turn a vague research direction into a focused proposal and a detailed experiment roadmap. This workflow connects method refinement with validation planning, producing review records, an experiment tracker, and a summary of what to run next.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turn a rough research idea into a focused proposal
• Plan experiments that test the paper's claims
• Organize experiment order, budget, and decision points

Get critical feedback from Claude on research ideas, papers, and experimental results. Through multiple review rounds, identify unsupported claims, missing experiments, and narrative weaknesses, then document agreed conclusions and a prioritized improvement plan.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding logical gaps in a research idea
• Planning additional experiments after review
• Checking whether paper claims match the evidence

Have Gemini critically review research developed with Codex. Multiple rounds of discussion examine logical gaps, missing experiments, and narrative weaknesses, then turn the findings into experiment plans, paper outlines, and documented research priorities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get Gemini feedback on research developed with Codex
• Identify logical gaps and missing experiments
• Develop a paper outline through review discussions

Fill unfinished research-wiki paper pages using summaries and abstracts from external sources. Organize each paper’s problem, method, results, limitations, and reusable ideas while preserving existing content by default and recording which source supplied the information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fill paper pages left unfinished after a literature import
• Summarize one paper’s methods, results, and limitations
• Prepare reusable research ideas for later brainstorming

Improve research through repeated Gemini reviews, code changes, experiments, and analysis. The workflow records full feedback and actions, then stops when both the score and readiness criteria are met or the round limit is reached.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving research through repeated external reviews
• Implementing and checking fixes for research weaknesses
• Keeping a complete record of reviews and experiments

Check mathematical proofs in LaTeX with review by a separate AI model. Identify missing assumptions and unsupported steps, explore counterexamples, repair derivations, and keep an audit record of issues, changes, and follow-up reviews.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking proofs in a theory paper
• Finding missing assumptions in lemmas
• Repairing gaps in mathematical derivations

Get critical feedback on research ideas, papers, and experimental results from an external AI reviewer. Repeated discussions help identify unsupported claims, plan missing experiments, and document agreed improvements with priorities and estimated computing costs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find gaps in research claims and evidence
• Plan additional experiments within a computing budget
• Review a paper's structure before submission