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Indraneil Paul
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2020 – today
- 2024
- [i6]Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu
, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.:
StarCoder 2 and The Stack v2: The Next Generation. CoRR abs/2402.19173 (2024) - [i5]Indraneil Paul, Jun Luo, Goran Glavas, Iryna Gurevych:
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators. CoRR abs/2403.03894 (2024) - [i4]Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra:
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR abs/2406.15877 (2024) - 2023
- [c4]Clifton Poth, Hannah Sterz, Indraneil Paul, Sukannya Purkayastha, Leon Engländer, Timo Imhof, Ivan Vulic, Sebastian Ruder, Iryna Gurevych, Jonas Pfeiffer:
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning. EMNLP (Demos) 2023: 149-160 - [i3]Clifton Poth, Hannah Sterz, Indraneil Paul, Sukannya Purkayastha, Leon Engländer, Timo Imhof, Ivan Vulic, Sebastian Ruder, Iryna Gurevych, Jonas Pfeiffer:
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning. CoRR abs/2311.11077 (2023) - 2022
- [c3]Indraneil Paul
, Sumit Negi:
Sub-Task Imputation via Self-Labelling to Train Image Moderation Models on Sparse Noisy Data. CIKM 2022: 3461-3471
2010 – 2019
- 2019
- [c2]Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra:
Elites Tweet? Characterizing the Twitter Verified User Network. ICDE Workshops 2019: 278-285 - [c1]Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta:
What sets Verified Users apart?: Insights, Analysis and Prediction of Verified Users on Twitter. WebSci 2019: 215-224 - [i2]Indraneil Paul
, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta:
What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter. CoRR abs/1903.04879 (2019) - 2018
- [i1]Indraneil Paul
, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra:
Elites Tweet? Characterizing the Twitter Verified User Network. CoRR abs/1812.09710 (2018)
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last updated on 2024-08-07 21:35 CEST by the dblp team
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