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Torsten Scholak
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Conference and Workshop Papers
- 2022
- [c3]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - 2021
- [c2]Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau:
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. EMNLP (1) 2021: 9895-9901 - [c1]Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. NAACL-HLT 2021: 1313-1321
Informal and Other Publications
- 2024
- [i9]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) - [i8]Nathan Cooper, Torsten Scholak:
Perplexed: Understanding When Large Language Models are Confused. CoRR abs/2404.06634 (2024) - [i7]Juan Rodriguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy DJ Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar:
BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. CoRR abs/2412.04626 (2024) - [i6]Dzmitry Bahdanau, Nicolas Gontier, Gabriel Huang, Ehsan Kamalloo, Rafael Pardinas, Alexandre Piché, Torsten Scholak, Oleh Shliazhko, Jordan Prince Tremblay, Karam Ghanem, Soham Parikh, Mitul Tiwari, Quaizar Vohra:
TapeAgents: a Holistic Framework for Agent Development and Optimization. CoRR abs/2412.08445 (2024) - 2023
- [i5]Disha Shrivastava, Denis Kocetkov, Harm de Vries, Dzmitry Bahdanau, Torsten Scholak:
RepoFusion: Training Code Models to Understand Your Repository. CoRR abs/2306.10998 (2023) - 2022
- [i4]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - 2021
- [i3]Torsten Scholak, Nathan Schucher, Dzmitry Bahdanau:
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models. CoRR abs/2109.05093 (2021) - [i2]Torsten Scholak, Jonathan Pilault, Joey Velez-Ginorio:
Towards Neural Functional Program Evaluation. CoRR abs/2112.04630 (2021) - 2020
- [i1]Torsten Scholak, Raymond Li, Dzmitry Bahdanau, Harm de Vries, Chris Pal:
DuoRAT: Towards Simpler Text-to-SQL Models. CoRR abs/2010.11119 (2020)
Coauthor Index
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