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## Related Work | ||
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- [nuprl/MultiPL-E](https://github.com/nuprl/MultiPL-E/blob/main/prompts/humaneval-jl-transform.jsonl) contains Julia version prompts transformed from the original Python version [HumanEval](https://github.com/openai/human-eval). However, based on my limited Julia programming experience, the prompts are not that accurate and conventional. | ||
- [Julia-LLM-Leaderboard](https://github.com/svilupp/Julia-LLM-Leaderboard), which focused on practicality and simplicity. | ||
- [EvalPlus Leaderboard](https://evalplus.github.io/leaderboard.html) | ||
- [Julia-LLM-Leaderboard](https://github.com/svilupp/Julia-LLM-Leaderboard), which focuses on practicality and simplicity. | ||
- [EvalPlus Leaderboard](https://evalplus.github.io/leaderboard.html) | ||
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## Future Work | ||
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We're hiring! If you're interested in working on code LLM at [01.ai](https://01.ai/), please contact [[email protected]](mailto:[email protected]). | ||
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## FAQ | ||
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- [What are the differences compared to the original Python version?](https://github.com/01-ai/HumanEval.jl/discussions/1) | ||
- [What are the limitations of this project?](https://github.com/01-ai/HumanEval.jl/discussions/2) | ||
- [How do LLMs perform compared to human?](https://github.com/01-ai/HumanEval.jl/discussions/3) | ||
- [How difficult is each problem?](https://github.com/01-ai/HumanEval.jl/discussions/4) | ||
- [Is GPT4 good enough?](https://github.com/01-ai/HumanEval.jl/discussions/5) | ||
- [How to make this evaluation higher quality?](https://github.com/01-ai/HumanEval.jl/discussions/6) | ||
- [How should we measure hallucinations?](https://github.com/01-ai/HumanEval.jl/discussions/7) | ||
- [Are there any other metrics we should care beyond pass@k?](https://github.com/01-ai/HumanEval.jl/discussions/8) | ||
- [Why does Yi-34B-Chat perform so poor?](https://github.com/01-ai/HumanEval.jl/discussions/9) | ||
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## Acknowledgement | ||
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- This project heavily relies on many features provided by [ReTestItems.jl](https://github.com/JuliaTesting/ReTestItems.jl). Great thanks to [Nick Robinson](https://github.com/nickrobinson251)'s help during the development. |