InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
IEEE

Separating Short Signals in Highly Reverberant Environment by a Recursive Frequency-Domain BSS

Abstract: A new approach to the permutation problem for Blind Source Separation (BSS) in the frequency domain is presented. The independence of the separation across the frequencies, and thus the ...
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 ...
GitHub

Crash: RangeError: Invalid string length in addSpans when evaluating deeply recursive Template Literal Types with --strict enabled

Behavior: The compiler crashes only when --strict is enabled. Key Trigger: Adding a non-numeric string (like "crash") to a tuple used for recursive indexing, combined with --strict mode's more ...