MoonshotAI
Featured
Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It introduces a systematic triage and experiment-planning stage before drafting, includes a viability gate that recommends resubmission when rebuttal is unlikely to succeed, and enforces strict evidence integrity with visible placeholders to prevent fabrication.
Who it is for
- Researchers submitting to NeurIPS, ICML, ACL, CVPR and similar venues
- Users of AI coding assistants (OpenCode, Claude Code, Gemini CLI) who need to draft rebuttals
- Program chairs or meta-reviewers seeking to understand structured rebuttal approaches
Use cases
- Generating a complete rebuttal with direct answers, evidence references, and revision lists
- Planning prioritized experiments (P0–P3) to address reviewer concerns before results are available
- Assessing whether a rebuttal is worth pursuing or if a resubmission roadmap is more appropriate
- Auditing an existing rebuttal draft for quality and completeness
Strengths
- Two-stage workflow separates triage/experiment planning from drafting, reducing rushed responses
- Multiple output modes adapt to different stages of the rebuttal process (triage, integration, full rebuttal, resubmission, quality review)
- Explicit evidence integrity rules with placeholder usage prevent fabricated or exaggerated claims
- Templates cover a wide range of response patterns (misunderstandings, limitations, novelty defense, etc.)
Considerations
- This is a skill definition, not a standalone application; it requires an AI coding assistant that supports skills
- Effectiveness depends on the quality and completeness of the required inputs (abstract, reviews, scores, etc.)
- May not fully address highly domain-specific or non-standard review formats outside the listed venues
README quick start
Usage
Related repositories
Similar projects matched by category, topics, and programming language.
xuchonglang
Featured
investing-for-beginners
A structured investing guide for Chinese beginners covering US stocks, options, and cryptocurrency, with focus on foundational concepts and risk awareness.
Krishnagangwal
Featured
CS-Fundamentals
A curated collection of Computer Science fundamentals (PDFs, notes, cheatsheets, interview question banks) for placement preparation, covering seven core subjects plus general resources.