Comments (1)
henryhungle
commented on August 21, 2024
@htcml thanks for reading the paper.
In our case, HumanEval dataset would not be the best evaluation benchmark. The reason is that HumanEval is treated as a docstring to code task in which the function signature and its docstring (in code comment block) is given. It is ideal for zero-shot evaluation for larger LMs such as CodeGen and Codex.
In our paper, we focus more on natural language text description of a problem and generate a program from scratch.
One workaround is that we can reformulate the HumanEval as text-to-code tasks but the comparison might not be fair with current baselines.
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Related Issues (20)
- exception of run_unit_tests.sh HOT 1
- Sample Temperature HOT 1
- problem about run_unit_tests.sh
- Datasets for train_actor_rl.sh HOT 11
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- Problems in reproducing the RL fine-tuned results HOT 8
- Question about the max-pooling operation. HOT 2
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- How to generate Critic Scores that can mimic a reward model
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