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shuyanzhou
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docprompting
Data and code for "DocPrompting: Generating Code by Retrieving the Docs" @ICLR 2023
Apache License 2.0
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RoBERTa Off shelf
#20
elpitero
opened
4 months ago
1
train_retriever_sup_unsup.json
#19
chenzhongwu
opened
4 months ago
4
baseline settings
#18
gaotongxue12138
closed
4 months ago
1
Which python version should be used
#17
ShiminZhang
closed
6 months ago
2
Asmitahajra patch 1
#16
asmitahajra
opened
9 months ago
0
api document dataset request
#15
middle-chunjie
closed
10 months ago
3
Add pass@k data and eval script
#14
shuyanzhou
closed
1 year ago
0
How do you calculate the Pass@k for conala?
#13
JiexingQi
closed
1 year ago
1
GPU and Machine Specifications for Reproducing Results
#12
Venseven
closed
4 months ago
1
The conala_docs.json files missing the function signature and usage.
#11
JiexingQi
closed
1 year ago
2
Curious about the ORACLE Docprompting setting.
#10
JiexingQi
closed
1 year ago
2
Could you share the detail parameters for your best model？
#9
JiexingQi
closed
1 year ago
7
README
#8
urialon
closed
1 year ago
0
README
#7
urialon
closed
1 year ago
0
How to start train in multi-GPU setting？
#6
JiexingQi
closed
1 year ago
4
Can not reproduce your result.
#5
JiexingQi
closed
1 year ago
6
ValueError: Make sure that `model_kwargs` include `encoder_outputs` of type `ModelOutput`
#4
pixas
closed
1 year ago
4
Fix bibtex
#3
urialon
closed
1 year ago
0
Could you share the prompts for Codex that use static examples for both CoNaLa and TLDR?
#2
ziansu
closed
1 year ago
4
When do you plan to upload the code?
#1
zoubaihan
closed
1 year ago
1