ICLR2025-Papers-with-Code

🥈Silver

Access and automate research from ICLR 2021-2025 papers and open-source projects. Ideal for operations teams to stay updated on LLM advancements in NLP. Integrates with Claude for automated research extraction and analysis.

546280Updated 1w ago

Intermediate30min to implementautomation

Saves ~20 min per use

Quick InstallView Source

git clone https://github.com/yinizhilian/ICLR2025-Papers-with-Code.git

Works with:

Claude

Overview

About This Skill

Use Cases

Automate the retrieval of the latest ICLR papers and their corresponding code implementations for research purposes.

Facilitate the integration of state-of-the-art NLP techniques into existing projects by leveraging ICLR resources.

Streamline the process of comparing different models and methodologies presented in ICLR papers.

Enhance educational resources by providing students with access to the latest research and practical code examples.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/yinizhilian/ICLR2025-Papers-with-Code

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Extract key insights from the latest ICLR [YEAR] papers related to [TOPIC] in [INDUSTRY]. Summarize findings and provide code snippets from open-source projects that implement these ideas. Focus on practical applications for [COMPANY] operations.

Example Output

# ICLR 2024 NLP Advancements for Healthcare Industry

## Key Insights
- **Transformer Efficiency**: New techniques reduce model size by 40% while maintaining performance.
- **Multimodal Learning**: Breakthroughs in combining text and imaging data for diagnostics.
- **Ethical AI**: Innovations in bias detection and mitigation in healthcare applications.

## Practical Applications for [COMPANY]
- Implement lightweight transformers for edge devices in telemedicine.
- Integrate multimodal learning for patient data analysis.
- Adopt bias detection tools for compliance and fairness.

## Open-Source Projects
- **EfficientHealthBERT**: GitHub repository with implementation of size-optimized transformers.
- **MedFusion**: Framework for multimodal medical data processing.
- **FairHealth**: Bias detection and mitigation library for healthcare AI.