A great survey about use of large language models in software engineering from Fan et al. here.

If you are a researcher in Software Engineering, Programming Languages, Systems, or AI/ML we would love to have you at University of Sydney! Please apply here, and do please reach out if you have any questions. #USyd

It is a sad state of affairs if one has to beg for a password that satisfies the criteria defined by the system that shall remain nameless :(.

A really interesting paper about comparison between AST based tree walking interpreters and byte code interpreters: Larose, Kaleba, Burchell and Marr  AST vs. Bytecode: Interpreters in the Age of Meta-Compilation at OOPSLA'23. They compared Python and Smalltalk interpreters with tree walking and bytecode based implementation. Their finding is that AST interpreters using meta compilation (RPython and Truffle+Graal) were faster than byte code counterparts even after applying all relevant optimizations possible for bytecodes.

This is a very interesting result because AST tree walkers are much more easier to construct and to teach (personal experience). #SE @seresearchers

An interesting paper on using #LLM for automated code repair from Wei et al. https://arxiv.org/abs/2309.00608 #SE