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https://github.com/NousResearch/hermes-agent.git
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b86647c295
Replaces the writing-focused ml-paper-writing skill (940 lines) with a complete end-to-end research paper pipeline (1,599 lines SKILL.md + 3,184 lines across 7 reference files). New content: - Full 8-phase pipeline: project setup, literature review, experiment design, execution/monitoring, analysis, paper drafting, review/revision, submission preparation - Iterative refinement strategy guide from autoreason research (when to use autoreason vs critique-and-revise vs single-pass, model selection) - Hermes agent integration: delegate_task parallel drafting, cronjob monitoring, memory/todo state management, skill composition - Professional LaTeX tooling: microtype, siunitx, TikZ diagram patterns, algorithm2e, subcaption, latexdiff, SciencePlots - Human evaluation design: annotation protocols, inter-annotator agreement, crowdsourcing platforms - Title, Figure 1, conclusion, appendix strategy, page budget management - Anonymization checklist, rebuttal writing, camera-ready preparation - AAAI and COLM venue coverage (checklists, reviewer guidelines) Preserved from ml-paper-writing: - All writing philosophy (Nanda, Farquhar, Gopen & Swan, Lipton, Perez) - Citation verification workflow (5-step mandatory process) - All 6 conference templates (NeurIPS, ICML, ICLR, ACL, AAAI, COLM) - Conference requirements, format conversion workflow - Proactivity/collaboration guidance Bug fixes in inherited reference files: - BibLaTeX recommendation now correctly says natbib for conferences - Bare except clauses fixed to except Exception - Jinja2 template tags removed from citation-workflow.md - Stale date caveats added to reviewer-guidelines.md
75 lines
2 KiB
BibTeX
75 lines
2 KiB
BibTeX
@inproceedings{langley00,
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author = {P. Langley},
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title = {Crafting Papers on Machine Learning},
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year = {2000},
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pages = {1207--1216},
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editor = {Pat Langley},
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booktitle = {Proceedings of the 17th International Conference
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on Machine Learning (ICML 2000)},
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address = {Stanford, CA},
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publisher = {Morgan Kaufmann}
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}
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@TechReport{mitchell80,
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author = "T. M. Mitchell",
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title = "The Need for Biases in Learning Generalizations",
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institution = "Computer Science Department, Rutgers University",
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year = "1980",
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address = "New Brunswick, MA",
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}
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@phdthesis{kearns89,
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author = {M. J. Kearns},
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title = {Computational Complexity of Machine Learning},
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school = {Department of Computer Science, Harvard University},
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year = {1989}
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}
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@Book{MachineLearningI,
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editor = "R. S. Michalski and J. G. Carbonell and T.
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M. Mitchell",
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title = "Machine Learning: An Artificial Intelligence
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Approach, Vol. I",
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publisher = "Tioga",
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year = "1983",
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address = "Palo Alto, CA"
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}
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@Book{DudaHart2nd,
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author = "R. O. Duda and P. E. Hart and D. G. Stork",
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title = "Pattern Classification",
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publisher = "John Wiley and Sons",
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edition = "2nd",
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year = "2000"
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}
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@misc{anonymous,
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title= {Suppressed for Anonymity},
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author= {Author, N. N.},
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year= {2021}
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}
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@InCollection{Newell81,
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author = "A. Newell and P. S. Rosenbloom",
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title = "Mechanisms of Skill Acquisition and the Law of
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Practice",
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booktitle = "Cognitive Skills and Their Acquisition",
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pages = "1--51",
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publisher = "Lawrence Erlbaum Associates, Inc.",
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year = "1981",
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editor = "J. R. Anderson",
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chapter = "1",
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address = "Hillsdale, NJ"
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}
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@Article{Samuel59,
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author = "A. L. Samuel",
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title = "Some Studies in Machine Learning Using the Game of
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Checkers",
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journal = "IBM Journal of Research and Development",
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year = "1959",
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volume = "3",
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number = "3",
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pages = "211--229"
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}
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