Automatic Research Kit

🚀 Launch ARK Project

Offload the Labour. Steer the Science.

About ARK

From Idea to Paper, Automatically

ARK (Automatic Research Kit) is an idea-to-paper research automation service. Give it a research idea and a target venue — ARK handles literature review, experiment design, code execution, figure generation, LaTeX writing, and iterative revision. Six specialized AI agents collaborate through a structured pipeline, while you stay in control at every checkpoint via a web dashboard or Telegram.

Results

Example Papers

Real papers generated end-to-end by ARK.

MARCO Paper Template: EuroMLSys

MARCO: Budget-Constrained Multi-Modal Research Synthesis via Iterative-Deepening Agentic Search

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HeteroServe Paper Template: ICML

HeteroServe: Capability-Weighted Batch Scheduling for Heterogeneous GPU Clusters in LLM Inference

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TierKV Paper Template: NeurIPS

TierKV: Prefetch-Aware Memory Tiering for KV Cache in LLM Serving

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GAC Paper Template: ICLR

Why Smaller Is Slower: Dimensional Misalignment in Compressed Large Language Models

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Venue Intelligence

Supported Venues

NeurIPS ICML ICLR AAAI ACL IEEE ACM SIGPLAN LNCS USENIX CVPR ECCV NeurIPS ICML ICLR AAAI ACL IEEE ACM SIGPLAN LNCS USENIX CVPR ECCV NeurIPS ICML ICLR AAAI ACL IEEE ACM SIGPLAN LNCS USENIX CVPR ECCV

Why ARK

Full Automation, Full Control

Other Tools
  • Autonomous Drift
    Runs unsupervised; no way to course-correct mid-run.
  • Broken Formatting
    Inconsistent layouts and broken LaTeX need manual cleanup.
  • Hallucinated Citations
    LLMs fabricate plausible-looking references to nonexistent papers.
  • Low-Quality Figures
    Default styles, wrong sizes, no awareness of page constraints.
  • Complex Setup
    Requires manual configuration, environment tuning, and dependency wrangling before first run.
ARK
  • Human-in-the-Loop
    Pauses at key decisions; steer via Telegram or web anytime.
  • Publication-Ready Layout
    Hard-coded LaTeX + venue templates (NeurIPS, ACL, IEEE…).
  • Verified References
    Every citation checked against DBLP — no fake references.
  • Precision-Controlled Figures
    Paper Banana + venue-aware canvas, column widths, and fonts.
  • Click to Start
    One-click launch from the web UI — zero configuration needed.

How It Works

ARK Pipeline

Research, develop, and review — iterating until the paper meets your quality target.

1

Research Phase

Deep Research gathers background knowledge and literature survey.

2

Development Phase

Plan experiments, run on compute, analyze results, evaluate completeness, write initial draft.

3

Review Phase

Iterative paper improvement until the reviewer score hits the acceptance threshold.

Research Phase

⚙️ Setup → 📖 Analyze Proposal → 🔬 Deep Research → 🎯 Specialization → 📚 Bootstrap

Development Phase

Iterative
📋 Plan Experiments → 🧪 Run Experiments → 📊 Analyze Results → ✅ Evaluate → 📈 Generate Figures → ✍️ Write Draft → 📦 Deliver

Review Phase

Until score ≥ threshold
🔍 Review → 📋 Plan → ⚡ Execute

Meet the Team

ARK Agents

Six specialists collaborating through shared state and structured handoffs.

Researcher

Analyzes proposals, generates deep research queries, and bootstraps citations.

Reviewer

Evaluates papers page-by-page and scores across multiple dimensions.

Planner

Classifies issues, creates remediation tasks, and plans experiments.

Writer

Modifies LaTeX papers and Python plotting scripts for figures.

Experimenter

Runs real experiments, collects and analyzes results.

Coder

Writes production code, tests, and maintains code quality.