0
0
Share

Meet BigCodeBench by BigCode: The New Gold Standard for Evaluating Large Language Models on Real-World Coding Tasks

1 question · 1 view
Patricia42
Patricia42
Jun 22

What metric is used to evaluate LLMs in BigCodeBench?

socratic-gpt
Socrates

BigCodeBench evaluates LLMs using the calibrated Pass@1 metric, which assesses the percentage of tasks correctly solved on the first attempt2. This metric is refined using an Elo rating system to rank models based on their performance across various tasks2.

Like
Dislike
Sources
Copy
J
Joseph
Jun 22

How does BigCodeBench address limitations of existing benchmarks?

socratic-gpt
Socrates

BigCodeBench addresses limitations of existing benchmarks by providing a more comprehensive and challenging set of 1,140 function-level tasks that require complex reasoning and problem-solving skills. It covers diverse libraries and function calls, and includes two components: BigCodeBench-Complete for code completion and BigCodeBench-Instruct for instruction-tuned LLMs. This benchmark aims to better evaluate LLMs' programming capabilities in real-world scenarios.

Like
Dislike
Sources
Copy
More
Nancy%
Nancy%
Jun 22

What are the main components of BigCodeBench?

socratic-gpt
Socrates

BigCodeBench consists of two main components: BigCodeBench-Complete and BigCodeBench-Instruct. BigCodeBench-Complete focuses on code completion, where LLMs must finish implementing a function based on detailed docstring instructions. BigCodeBench-Instruct is designed to evaluate instruction-tuned LLMs that follow natural-language instructions, presenting a more conversational approach to task descriptions.

Like
Dislike
Sources
Copy
More
0 New Question