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Text Generation
Language Decision Transformers with Exponential Tilt for Interactive Text Environments
Text-based game environments are challenging because agents must deal with long sequences of text, execute compositional actions using …
Nicolas Gontier
,
Pau Rodriguez
,
Issam H. Laradji
,
David Vazquez
,
Christopher Pal
ArXiv, 2024.
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Citation
StarCoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code …
Raymond Li
,
Loubna Ben Allal
,
Yangtian Zi
,
Denis Kocetkov
,
Chenghao Mou
,
Christopher Akiki
,
Jia Li
,
Jenny Chim
,
Terry Yue Zhuo
,
Thomas Wang
,
Mishig Davaadorj
,
João Monteiro
,
Oleh Shliazhko
,
Nicolas Gontier
,
Nicholas Meade
,
Ming-Ho Yee
,
Logesh Kumar Umapathi
,
Benjamin Lipkin
,
Zhiruo Wang
,
Rudra Murthy
,
Jason Stillerman
,
Siva Sankalp Patel
,
Dmitry Abulkhanov
,
Marco Zocca
,
Zhihan Zhang
,
Nour Fahmy
,
Urvashi Bhattacharyya
,
Swayam Singh
,
Sasha Luccioni
,
Paulo Villegas
,
Maxim Kunakov
,
Fedor Zhdanov
,
Manuel Romero
,
Tony Lee
,
Nadav Timor
,
Jennifer Ding
,
Claire Schlesinger
,
Hailey Schoelkopf
,
Jan Ebert
,
Jennifer Robinson
,
Carolyn Jane Anderson
,
Brendan Dolan-Gavitt
,
Danish Contractor
,
Siva Reddy
,
Daniel Fried
,
Dzmitry Bahdanau
,
Yacine Jernite
,
Carlos Muñoz Ferrandis
,
Sean Hughes
,
Thomas Wolf
,
Arjun Guha
,
Leandro von Werra
,
Harm de Vries
,
Joel Lamy Poirier
,
Alex Gu
,
Armel Zebaze
,
Jian Zhu
,
Manan Dey
,
Marc Marone
,
Mayank Mishra
,
Muhtasham Oblokulov
,
Olivier Dehaene
,
Qian Liu
,
Tri Dao
,
Wenhao Yu
,
Niklas Muennighoff
Transactions on Machine Learning Research (TMLR), 2023.
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Code
Towards Text Generation with Adversarially Learned Neural Outlines
Recent progress in deep generative models has been fueled by two paradigms – au- toregressive and adversarial models. We propose a …
Sandeep Subramanian
,
Sai Rajeswar Mudumba
,
Alessandro Sordoni
,
Adam Trischler
,
Aaron Courville
,
Christopher Pal
Conference on Neural Information Processing Systems (NeurIPS), 2018.
PDF
Citation
Adversarially-Trained Normalized Noisy-Feature Auto-Encoder for Text Generation
This article proposes Adversarially-Trained Normalized Noisy-Feature Auto-Encoder (ATNNFAE) for byte-level text generation. An ATNNFAE …
Xiang Zhang
,
Yann LeCun
ArXiv, 2018.
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Citation
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