Home
Catalogue search
Refine your search:
Keyword
Creator / Publisher:
Xu, Frank F. (7)
Neubig, Graham (5)
Cuenca, Grace (3)
Shuyan Zhou (2)
Zhiruo Wang (2)
Alon, Uri (1)
Araki, Jun (1)
Gui, Huan (1)
Han, Jiawei (1)
Hellendoorn, Vincent J. (1)
more
Year:
2022 (4)
2020 (1)
2019 (1)
2017 (1)
Medium:
Online (7)
Type
BLLDB-Access:
free (7)
subject to license (0)
Search in the Catalogues and Directories
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
Sort by
creator [A → Z]
'
creator [Z → A]
'
publishing year ↑ (asc)
'
publishing year ↓ (desc)
'
title [A → Z]
'
title [Z → A]
'
Simple Search
Hits 1 – 7 of 7
1
Multilingual CoNaLa Datset, train data ...
Zhiruo Wang
;
Cuenca, Grace
;
Shuyan Zhou
. - : Zenodo, 2022
BASE
Show details
2
Multilingual CoNaLa Datset, train data ...
Zhiruo Wang
;
Cuenca, Grace
;
Shuyan Zhou
. - : Zenodo, 2022
BASE
Show details
3
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages ...
Wang, Zhiruo
;
Cuenca, Grace
;
Zhou, Shuyan
. - : arXiv, 2022
BASE
Show details
4
A Systematic Evaluation of Large Language Models of Code ...
Xu, Frank F.
;
Alon, Uri
;
Neubig, Graham
;
Hellendoorn, Vincent J.
. - : arXiv, 2022
Abstract:
Large language models (LMs) of code have recently shown tremendous promise in completing code and synthesizing code from natural language descriptions. However, the current state-of-the-art code LMs (e.g., Codex (Chen et al., 2021)) are not publicly available, leaving many questions about their model and data design decisions. We aim to fill in some of these blanks through a systematic evaluation of the largest existing models: Codex, GPT-J, GPT-Neo, GPT-NeoX-20B, and CodeParrot, across various programming languages. Although Codex itself is not open-source, we find that existing open-source models do achieve close results in some programming languages, although targeted mainly for natural language modeling. We further identify an important missing piece in the form of a large open-source model trained exclusively on a multi-lingual corpus of code. We release a new model, PolyCoder, with 2.7B parameters based on the GPT-2 architecture, which was trained on 249GB of code across 12 programming languages on a ...
Keyword:
Computation and Language cs.CL
;
FOS Computer and information sciences
;
Programming Languages cs.PL
URL:
https://dx.doi.org/10.48550/arxiv.2202.13169
https://arxiv.org/abs/2202.13169
BASE
Hide details
5
How Can We Know What Language Models Know?
Jiang, Zhengbao
;
Xu, Frank F.
;
Araki, Jun
...
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 423-438 (2020) (2020)
BASE
Show details
6
Data-to-Text Generation with Style Imitation ...
Lin, Shuai
;
Wang, Wentao
;
Yang, Zichao
. - : arXiv, 2019
BASE
Show details
7
Empower Sequence Labeling with Task-Aware Neural Language Model ...
Liu, Liyuan
;
Shang, Jingbo
;
Xu, Frank F.
. - : arXiv, 2017
BASE
Show details
Mobile view
All
Catalogues
UB Frankfurt Linguistik
0
IDS Mannheim
0
OLC Linguistik
0
UB Frankfurt Retrokatalog
0
DNB Subject Category Language
0
Institut für Empirische Sprachwissenschaft
0
Leibniz-Centre General Linguistics (ZAS)
0
Bibliographies
BLLDB
0
BDSL
0
IDS Bibliografie zur deutschen Grammatik
0
IDS Bibliografie zur Gesprächsforschung
0
IDS Konnektoren im Deutschen
0
IDS Präpositionen im Deutschen
0
IDS OBELEX meta
0
MPI-SHH Linguistics Collection
0
MPI for Psycholinguistics
0
Linked Open Data catalogues
Annohub
0
Online resources
Link directory
0
Journal directory
0
Database directory
0
Dictionary directory
0
Open access documents
BASE
7
Linguistik-Repository
0
IDS Publikationsserver
0
Online dissertations
0
Language Description Heritage
0
© 2013 - 2024 Lin|gu|is|tik
|
Imprint
|
Privacy Policy
|
Datenschutzeinstellungen ändern