IEEE

Toward Low-Resource Languages Machine Translation: A Language-Specific Fine-Tuning With LoRA for Specialized Large Language Models

Abstract: In the field of computational linguistics, addressing machine translation (MT) challenges for low-resource languages remains crucial, as these languages often lack extensive data compared to ...
IEEE

Advances in Machine Translation: A Comprehensive Survey of Large Language Models

Abstract: The conventional line of machine translation (MT) has been revolutionized by the advent of large language models (LLMs) that have dramatically increased translation performance on multi ...
Tech Xplore

AIs behaving badly: An AI trained to deliberately make bad code will become bad at unrelated tasks, too

Artificial intelligence models that are trained to behave badly on a narrow task may generalize this behavior across ...
GitHub

Reverse Engineering: Decompiling Binary Code with Large Language Models

During compilation, the Preprocessor processes the source code (SRC) to eliminate comments and expand macros or includes. The cleaned code is then forwarded to the Compiler, which converts it into ...