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DME Lab at UNIST
- Ulsan Korea
- https://sites.google.com/view/unistdme
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We propose Reinforcement Learning from Community Feedback (RLCF), a training paradigm that uses large-scale community signals as supervision, and formulate scientific taste learning as a preferenceβ¦
PaperBanana: Automating Academic Illustration For AI Scientists
DSPy: The framework for programmingβnot promptingβlanguage models
Agno turns agents into production software. Build in any framework. Run as a service. Ship to real users.
Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2 and Pytorch.
A convenient way to link, deduplicate, aggregate and cluster data(frames) in Python using deep learning
[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat
MiroThinker is a deep research agent optimized for complex research and prediction tasks. Our latest models, MiroThinker-1.7, achieves 74.0 and 75.3 on the BrowseComp and BrowseComp Zh, respectively.
ππ€ Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
A library that scrapes Linkedin for user data
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Code to create the scientists-inventors dataset, as well as the descriptive figures and regressions.
A demo repository showcasing real-time visualization of GraphRAG retrieval processes.
A large-scale open data lake for the science of science research.
21 Lessons, Get Started Building with Generative AI
"RAG-Anything: All-in-One RAG Framework"
Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Multilingual Document Layout Parsing in a Single Vision-Language Model
A Comprehensive Toolkit for High-Quality PDF Content Extraction
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
A lightweight LMM-based Document Parsing Model
A curated list of resources for Document Understanding (DU) topic