Capturing sound and faithful concurrent traces is essential for effective online monitoring of concurrent programs.
Large language models require optimized data mixing for enhanced performance, as demonstrated in the BetterMixture challenge solution.
低リソース言語のための多モーダルLLMを開発するための方法を探る。
The author presents an extended type system with lambda-typed lambda-expressions, emphasizing the normalizing properties and additional operators introduced. The main thesis is to showcase a system that handles proofs and formulas uniformly as functional expressions.
The authors present a non-blocking vector clock algorithm to collect sound concurrent traces on the fly, addressing the challenge of monitoring concurrent programs online. They emphasize the importance of capturing necessary orderings in traces for effective monitoring.