… To ensure a thorough assessment of the functional correctness of LLM-synthesized code, …
+: Open code large language models for code understanding and generation. CoRR, abs/…

… Additionally, we demonstrate that adding complementary program synthesis methods
could further enhance code quality. Finally, we demonstrate that our approach is cost-effective, …

… Code Large Language Models (Code LLMs) have demonstrated outstanding performance
… teacher models to synthesize instruction data to finetune small language models (Mitra et al.…

… family of large language models and large multimodal modles… automated alignment
strategies to synthesize data at scale. … open-weight models, including Mixtral-8x22B (Jiang et al., …

… large language models mark a pivotal breakthrough in artificial intelligence. They are specifically
crafted to understand and generate programming languages… synthesis. In The Eleventh …

… The core idea of our approach is to guide a model towards producing higher-quality code,
by utilizing the test signals and human preferences jointly as feedback to rank responses. …

… 3.3 Pilot Study and LLM Selection Program synthesis in a veri cation-aware language … the
potential of large language models (GPT-4 and PaLM-2 ) to synthesize method speci cations …

… We introduce Nemotron-4 15B, a 15-billion-parameter large multilingual language model …
,b; Yang et al., 2023; Jiang et al., 2023) in language model pre-training have been inspired by …

… of deep learning models, partly due to data scarcity. In this work, we explore the use of Large
Language Models (LLMs) to … The study of Code Synthesis has led to exciting applications (…

… One advantage of multiple-choice questions is that they enable the evaluation of any language
model on any subject, by simply comparing the output logits of the tokens “A”, “B”, “C”, “D”…