research-agora

Overview

This collection provides a comprehensive set of AI workflows spanning the entire academic research lifecycle, from initial literature synthesis and brainstorming to experiment tracking, LaTeX verification, citation checking, and conference presentation creation. Designed primarily for machine learning researchers targeting top venues like NeurIPS, ICML, and ICLR, it integrates cleanly with developer environments to enforce standards, automate routine drafting tasks, and provide rigorous peer-review simulation.

Capabilities

• ▸Interactive research brainstorming and decision checkpointing
• ▸Automated literature discovery and related work synthesis
• ▸Citation verification and bibliography fact-checking
• ▸Experimental claim validation against codebases
• ▸LaTeX document synchronization and equation verification
• ▸Simulated peer review and reviewer response generation
• ▸Conference poster and slide deck generation

Best for

Brainstorming and structuring machine learning research directions interactively, Writing, editing, and fact-checking paper drafts, abstracts, introductions, and bibliographies, Verifying experimental claims against source code and validating statistical rigor, Simulating peer reviews and generating structured rebuttals to conference reviewer comments, Creating academic conference posters and presentation slides

Works with

Security considerations

Execution of local code integration and repository analysis commands; ensure sensitive or unpublished private data is excluded unless using compliant paid enterprise tiers.

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