mirror of
https://github.com/NousResearch/hermes-agent.git
synced 2026-05-07 02:51:50 +00:00
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
24 lines
No EOL
629 B
BibTeX
24 lines
No EOL
629 B
BibTeX
@incollection{Bengio+chapter2007,
|
|
author = {Bengio, Yoshua and LeCun, Yann},
|
|
booktitle = {Large Scale Kernel Machines},
|
|
publisher = {MIT Press},
|
|
title = {Scaling Learning Algorithms Towards {AI}},
|
|
year = {2007}
|
|
}
|
|
|
|
@article{Hinton06,
|
|
author = {Hinton, Geoffrey E. and Osindero, Simon and Teh, Yee Whye},
|
|
journal = {Neural Computation},
|
|
pages = {1527--1554},
|
|
title = {A Fast Learning Algorithm for Deep Belief Nets},
|
|
volume = {18},
|
|
year = {2006}
|
|
}
|
|
|
|
@book{goodfellow2016deep,
|
|
title={Deep learning},
|
|
author={Goodfellow, Ian and Bengio, Yoshua and Courville, Aaron and Bengio, Yoshua},
|
|
volume={1},
|
|
year={2016},
|
|
publisher={MIT Press}
|
|
} |