hermes-agent/skills/research/research-paper-writing/templates/iclr2026/iclr2026_conference.bib
SHL0MS b86647c295 Replace ml-paper-writing with research-paper-writing: full research pipeline skill
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
2026-04-02 16:13:26 -04:00

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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}
}