MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
GitHub

stevereiner/python-alfresco-api

A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...
GitHub

OpenASCE: A Python Package for End-to-End Large Scale Causal Learning

OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...
IEEE

Approximate String Matching Algorithm Using Multiple-Character Inverted Lists

Abstract: Approximate string matching algorithms, which permit mismatched characters, are extensively employed in software featuring search tools, database management systems, and various applications ...
IEEE

MAP Algorithm for Frame Padding Length Estimation: A Classic Example of Decoding With Natural Redundancy in Protocols

Abstract: This letter aims to provide a general methodology for addressing forward error correction (FEC) issues in protocols. Taking the estimation of frame padding ...