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skills/research/research-paper-writing/references/checklists.md
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# Conference Paper Checklists
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This reference documents the mandatory checklist requirements for major ML/AI conferences. All major venues now require paper checklists—missing them results in desk rejection.
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---
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## Contents
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- [NeurIPS Paper Checklist](#neurips-paper-checklist)
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- [ICML Paper Checklist](#icml-paper-checklist)
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- [ICLR Requirements](#iclr-requirements)
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- [ACL Requirements](#acl-requirements)
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- [AAAI Requirements](#aaai-requirements)
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- [COLM Requirements](#colm-requirements)
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- [Universal Pre-Submission Checklist](#universal-pre-submission-checklist)
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---
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## NeurIPS Paper Checklist
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### Mandatory Components
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All NeurIPS submissions must include a completed paper checklist. Papers lacking this element face **automatic desk rejection**. The checklist appears after references and supplemental material, outside the page limit.
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### 16 Required Checklist Items
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#### 1. Claims Alignment
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Authors must verify that abstract and introduction claims match theoretical and experimental results, with clearly stated contributions, assumptions, and limitations.
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**What to check:**
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- [ ] Abstract claims match actual results
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- [ ] Introduction doesn't overclaim
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- [ ] Contributions are specific and falsifiable
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#### 2. Limitations Discussion
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Papers should include a dedicated "Limitations" section addressing strong assumptions, robustness to violations, scope constraints, and performance-influencing factors.
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**What to include:**
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- [ ] Dedicated Limitations section
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- [ ] Honest assessment of scope
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- [ ] Conditions where method may fail
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#### 3. Theory & Proofs
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Theoretical contributions require full assumption statements and complete proofs (main paper or appendix with proof sketches for intuition).
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**What to check:**
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- [ ] All assumptions stated formally
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- [ ] Complete proofs provided (main text or appendix)
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- [ ] Proof sketches for intuition in main text
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#### 4. Reproducibility
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Authors must describe steps ensuring results verification through code release, detailed instructions, model access, or checkpoints appropriate to their contribution type.
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**What to provide:**
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- [ ] Clear reproducibility statement
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- [ ] Code availability information
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- [ ] Model checkpoints if applicable
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#### 5. Data & Code Access
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Instructions for reproducing main experimental results should be provided (supplemental material or URLs), including exact commands and environment specifications.
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**What to include:**
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- [ ] Exact commands to run experiments
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- [ ] Environment specifications (requirements.txt, conda env)
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- [ ] Data access instructions
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#### 6. Experimental Details
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Papers must specify training details: data splits, hyperparameters, and selection methods in the main paper or supplementary materials.
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**What to document:**
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- [ ] Train/val/test split details
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- [ ] All hyperparameters used
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- [ ] Hyperparameter selection method
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#### 7. Statistical Significance
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Results require error bars, confidence intervals, or statistical tests with clearly stated calculation methods and underlying assumptions.
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**What to include:**
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- [ ] Error bars or confidence intervals
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- [ ] Number of runs/seeds
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- [ ] Calculation method (std dev vs std error)
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#### 8. Compute Resources
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Specifications needed: compute worker types (CPU/GPU), memory, storage, execution time per run, and total project compute requirements.
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**What to document:**
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- [ ] GPU type and count
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- [ ] Training time per run
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- [ ] Total compute used
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#### 9. Ethics Code Compliance
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Authors confirm adherence to the NeurIPS Code of Ethics, noting any necessary deviations.
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**What to verify:**
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- [ ] Read NeurIPS Code of Ethics
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- [ ] Confirm compliance
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- [ ] Note any deviations with justification
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#### 10. Broader Impacts
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Discussion of potential negative societal applications, fairness concerns, privacy risks, and possible mitigation strategies when applicable.
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**What to address:**
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- [ ] Potential negative applications
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- [ ] Fairness considerations
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- [ ] Privacy implications
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- [ ] Mitigation strategies
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#### 11. Safeguards
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High-risk models (language models, internet-scraped datasets) require controlled release mechanisms and usage guidelines.
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**What to consider:**
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- [ ] Release strategy for sensitive models
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- [ ] Usage guidelines if needed
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- [ ] Access controls if appropriate
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#### 12. License Respect
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All existing assets require creator citations, license names, URLs, version numbers, and terms-of-service acknowledgment.
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**What to document:**
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- [ ] Dataset licenses cited
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- [ ] Code licenses respected
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- [ ] Version numbers included
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#### 13. Asset Documentation
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New releases need structured templates documenting training details, limitations, consent procedures, and licensing information.
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**For new datasets/models:**
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- [ ] Datasheet or model card
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- [ ] Training data documentation
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- [ ] Known limitations
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#### 14. Human Subjects
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Crowdsourcing studies must include participant instructions, screenshots, compensation details, and comply with minimum wage requirements.
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**What to include:**
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- [ ] Task instructions
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- [ ] Compensation details
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- [ ] Time estimates
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#### 15. IRB Approvals
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Human subjects research requires documented institutional review board approval or equivalent, with risk descriptions disclosed (maintaining anonymity at submission).
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**What to verify:**
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- [ ] IRB approval obtained
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- [ ] Risk assessment completed
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- [ ] Anonymized at submission
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#### 16. LLM Declaration
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Usage of large language models as core methodology components requires disclosure; writing/editing use doesn't require declaration.
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**What to disclose:**
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- [ ] LLM used as core methodology component
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- [ ] How LLM was used
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- [ ] (Writing assistance doesn't require disclosure)
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### Response Format
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Authors select "yes," "no," or "N/A" per question, with optional 1-2 sentence justifications.
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**Important:** Reviewers are explicitly instructed not to penalize honest limitation acknowledgment.
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---
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## ICML Paper Checklist
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### Broader Impact Statement
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ICML requires a Broader Impact Statement at the end of the paper, before references. This does NOT count toward the page limit.
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**Required elements:**
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- Potential positive impacts
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- Potential negative impacts
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- Mitigation strategies
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- Who may be affected
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### ICML Specific Requirements
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#### Reproducibility Checklist
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- [ ] Data splits clearly specified
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- [ ] Hyperparameters listed
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- [ ] Search ranges documented
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- [ ] Selection method explained
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- [ ] Compute resources specified
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- [ ] Code availability stated
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#### Statistical Reporting
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- [ ] Error bars on all figures
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- [ ] Standard deviation vs standard error specified
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- [ ] Number of runs stated
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- [ ] Significance tests if comparing methods
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#### Anonymization
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- [ ] No author names in paper
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- [ ] No acknowledgments
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- [ ] No grant numbers
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- [ ] Prior work cited in third person
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- [ ] No identifiable repository URLs
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---
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## ICLR Requirements
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### LLM Disclosure Policy (New for 2026)
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ICLR has a specific LLM disclosure requirement:
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> "If LLMs played a significant role in research ideation and/or writing to the extent that they could be regarded as a contributor, authors must describe their precise role in a separate appendix section."
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**When disclosure is required:**
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- LLM used for significant research ideation
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- LLM used for substantial writing
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- LLM could be considered a contributor
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**When disclosure is NOT required:**
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- Grammar checking
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- Minor editing assistance
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- Code completion tools
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**Consequences of non-disclosure:**
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- Desk rejection
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- Potential post-publication issues
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### ICLR Specific Requirements
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#### Reproducibility Statement (Optional but Recommended)
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Add a statement referencing:
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- Supporting materials
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- Code availability
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- Data availability
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- Model checkpoints
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#### Ethics Statement (Optional)
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Address potential concerns in ≤1 page. Does not count toward page limit.
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#### Reciprocal Reviewing
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- Authors on 3+ papers must serve as reviewers for ≥6 papers
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- Each submission needs ≥1 author registered to review ≥3 papers
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---
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## ACL Requirements
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### Limitations Section (Mandatory)
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ACL specifically requires a Limitations section:
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**What to include:**
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- Strong assumptions made
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- Scope limitations
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- When method may fail
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- Generalization concerns
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**Important:** The Limitations section does NOT count toward the page limit.
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### ACL Specific Checklist
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#### Responsible NLP
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- [ ] Bias considerations addressed
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- [ ] Fairness evaluated if applicable
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- [ ] Dual-use concerns discussed
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#### Multilingual Considerations
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If applicable:
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- [ ] Language diversity addressed
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- [ ] Non-English languages included
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- [ ] Translation quality verified
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#### Human Evaluation
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If applicable:
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- [ ] Annotator details provided
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- [ ] Agreement metrics reported
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- [ ] Compensation documented
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---
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## AAAI Requirements
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### Formatting (Strictest of All Venues)
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AAAI enforces formatting rules more strictly than any other major venue. Papers that deviate from the template are desk-rejected.
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- [ ] Use the **exact** AAAI style file without modification — no `\setlength`, no `\vspace` hacks, no font overrides
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- [ ] 7 pages main content (8 for camera-ready with author info)
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- [ ] Two-column format, Times font (set by template)
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- [ ] References and appendices do not count toward page limit
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- [ ] Abstract must be a single paragraph
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- [ ] Do not modify margins, column widths, or font sizes
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### Required Sections
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- [ ] Abstract (single paragraph, no math or citations)
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- [ ] Introduction with clear contribution statement
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- [ ] References in AAAI format (uses `aaai2026.bst`)
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- [ ] Appendix (optional, unlimited)
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### Ethics and Reproducibility
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- [ ] Broader impact statement (encouraged but not always mandatory — check current year's CFP)
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- [ ] Reproducibility details (datasets, code availability)
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- [ ] Acknowledge use of AI writing tools if applicable
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### Key Differences from Other Venues
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- **No separate limitations section required** (unlike ACL), but discussing limitations is recommended
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- **Strictest formatting enforcement** — the style checker will reject non-compliant PDFs
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- **No paper checklist** like NeurIPS has, but the universal checklist below still applies
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- **Unified template** covers main paper and supplementary in the same file
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---
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## COLM Requirements
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### Overview
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COLM (Conference on Language Modeling) focuses specifically on language model research. Framing must target this community.
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### Formatting
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- [ ] 9 pages main content (10 for camera-ready)
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- [ ] Use COLM template (based on ICLR template with modifications)
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- [ ] Double-blind review
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- [ ] References and appendices unlimited
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### Required Sections
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- [ ] Abstract
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- [ ] Introduction framed for language modeling community
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- [ ] Conclusion
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- [ ] References
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### Content Expectations
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- [ ] Contribution must be relevant to language models (broadly interpreted: training, evaluation, applications, theory, alignment, safety)
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- [ ] If the method is general, frame with language model examples
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- [ ] Baselines should include recent LM-specific methods where applicable
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### Key Differences from Other Venues
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- **Narrower scope** than NeurIPS/ICML — must frame for LM community
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- **Template derived from ICLR** — similar formatting rules
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- **Newer venue** — reviewer norms are still establishing; err on the side of thorough evaluation
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- **No mandatory checklist** like NeurIPS, but broader impact discussion is expected
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- **LLM disclosure**: If LLMs were used in research (code generation, data annotation, writing assistance), disclose this
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---
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## Universal Pre-Submission Checklist
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### Before Every Submission
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#### Paper Content
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- [ ] Abstract ≤ word limit (usually 250-300 words)
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- [ ] Main content within page limit
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- [ ] References complete and verified
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- [ ] Limitations section included
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- [ ] All figures/tables have captions
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- [ ] Captions are self-contained
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#### Formatting
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- [ ] Correct template used (venue + year specific)
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- [ ] Margins not modified
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- [ ] Font sizes not modified
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- [ ] Double-blind requirements met
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- [ ] Page numbers (for review) or none (camera-ready)
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#### Technical
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- [ ] All claims supported by evidence
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- [ ] Error bars included
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- [ ] Baselines appropriate
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- [ ] Hyperparameters documented
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- [ ] Compute resources stated
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#### Reproducibility
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- [ ] Code will be available (or justification)
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- [ ] Data will be available (or justification)
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- [ ] Environment documented
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- [ ] Commands to reproduce provided
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#### Ethics
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- [ ] Broader impacts considered
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- [ ] Limitations honestly stated
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- [ ] Licenses respected
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- [ ] IRB obtained if needed
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#### Final Checks
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- [ ] PDF compiles without errors
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- [ ] All figures render correctly
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- [ ] All citations resolve
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- [ ] Supplementary material organized
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- [ ] Conference checklist completed
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---
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## Quick Reference: Page Limits
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| Conference | Main Content | References | Appendix |
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|------------|-------------|------------|----------|
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| NeurIPS 2025 | 9 pages | Unlimited | Unlimited (checklist separate) |
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| ICML 2026 | 8 pages (+1 camera) | Unlimited | Unlimited |
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| ICLR 2026 | 9 pages (+1 camera) | Unlimited | Unlimited |
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| ACL 2025 | 8 pages (long) | Unlimited | Unlimited |
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| AAAI 2026 | 7 pages (+1 camera) | Unlimited | Unlimited |
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| COLM 2025 | 9 pages (+1 camera) | Unlimited | Unlimited |
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---
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## Template Locations
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All conference templates are in the `templates/` directory:
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```
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templates/
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├── icml2026/ # ICML 2026 official
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├── iclr2026/ # ICLR 2026 official
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├── neurips2025/ # NeurIPS 2025
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├── acl/ # ACL style files
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├── aaai2026/ # AAAI 2026
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└── colm2025/ # COLM 2025
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```
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Reference in New Issue
Block a user