5 citations · 10 across the 18 of their papers we have counts for
3 papers · 1 filter
CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++?
Vaishnavi Bhargava, Rajat Ghosh, Debojyoti Dutta
We introduce CPP-UT-Bench, a benchmark dataset to measure C++ unit test generation capability of a large language model (LLM). CPP-UT-Bench aims to reflect a broad and diverse set…
Efficient Alignment of Large Language Models via Data Sampling
Amrit Khera, Rajat Ghosh, Debojyoti Dutta
LLM alignment ensures that large language models behave safely and effectively by aligning their outputs with human values, goals, and intentions. Aligning LLMs employ huge amounts…
Introducing v0.5 of the AI Safety Benchmark from MLCommons
Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed +97
This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safe…