This is a hobby project that we support with our own money, so progress is necessarily gradual. 😁 EDMARS V2.0 with causal analysis capability is on the way.
👏 EDMARS V1.2 is now available with its companion tool, the Learning Science Auto-Reviewer (LSAR). This version is reinforced by LSAR and aims to reduce overly formulaic paper organization. See details: https://t.co/Y7MS6N0pX7
🫡We are also releasing 2 honest demo papers and review reports. They still have many limitations, but we hope they provide a transparent look at where the project currently stands. We are deeply grateful for any comments, feedback, or criticism.
It features real literature citations, sandboxed code execution, built-in revision loops, and checkpoint recovery.
We're improving paper quality and expanding EDM-ARS to cover more research themes, such as causal inference, transfer learning, and beyond.
Excited to share our hobby project: EDM-ARS (Educational Data Mining Automated Research System) — a domain-specific, multi-agent LLM pipeline that turns a dataset + research prompt into a research paper. Check our website for details: https://t.co/Rm4nZdg5X7 🙏
Can you imagine, in an era of massive LLMs and deep RL, Stockfish remains the best chess engine on earth by using a shallow NN, and it consistently outperforms deep RL-based bots. Efficiency and search depth still reign supreme!
Stockfish 18 is out! Elo gain of up to 46 points compared to Stockfish 17. This release introduces the SFNNv10 network architecture with ‘Threat Inputs’ features for more accurate evaluations. https://t.co/7j51DUnTzY