Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Jain, Naman"'
Autor:
Jain, Naman
We give a parallel $O(\log(n))$-time algorithm on a CRCW PRAM to assign vertical and horizontal segments to the vertices of any planar bipartite graph $G$ in the following manner: i) Two segments cannot share an interior point ii) Two segments inters
Externí odkaz:
http://arxiv.org/abs/2409.15400
Autor:
Gkritsis, Fotios, Dux, Daniel, Zhang, Jin, Jain, Naman, Gogolin, Christian, Preiss, Philipp M.
We show that quantum number preserving Ans\"atze for variational optimization in quantum chemistry find an elegant mapping to ultracold fermions in optical superlattices. Using native Hubbard dynamics, trial ground states for arbitrary molecular Hami
Externí odkaz:
http://arxiv.org/abs/2409.05663
Autor:
Zhuo, Terry Yue, Vu, Minh Chien, Chim, Jenny, Hu, Han, Yu, Wenhao, Widyasari, Ratnadira, Yusuf, Imam Nur Bani, Zhan, Haolan, He, Junda, Paul, Indraneil, Brunner, Simon, Gong, Chen, Hoang, Thong, Zebaze, Armel Randy, Hong, Xiaoheng, Li, Wen-Ding, Kaddour, Jean, Xu, Ming, Zhang, Zhihan, Yadav, Prateek, Jain, Naman, Gu, Alex, Cheng, Zhoujun, Liu, Jiawei, Liu, Qian, Wang, Zijian, Lo, David, Hui, Binyuan, Muennighoff, Niklas, Fried, Daniel, Du, Xiaoning, de Vries, Harm, Von Werra, Leandro
Automated software engineering has been greatly empowered by the recent advances in Large Language Models (LLMs) for programming. While current benchmarks have shown that LLMs can perform various software engineering tasks like human developers, the
Externí odkaz:
http://arxiv.org/abs/2406.15877
Autor:
Zhang, Tianjun, Patil, Shishir G., Jain, Naman, Shen, Sheng, Zaharia, Matei, Stoica, Ion, Gonzalez, Joseph E.
Pretraining Large Language Models (LLMs) on large corpora of textual data is now a standard paradigm. When using these LLMs for many downstream applications, it is common to additionally bake in new knowledge (e.g., time-critical news, or private dom
Externí odkaz:
http://arxiv.org/abs/2403.10131
Autor:
Jain, Naman, Han, King, Gu, Alex, Li, Wen-Ding, Yan, Fanjia, Zhang, Tianjun, Wang, Sida, Solar-Lezama, Armando, Sen, Koushik, Stoica, Ion
Large Language Models (LLMs) applied to code-related applications have emerged as a prominent field, attracting significant interest from both academia and industry. However, as new and improved LLMs are developed, existing evaluation benchmarks (e.g
Externí odkaz:
http://arxiv.org/abs/2403.07974
Autor:
Gu, Alex, Li, Wen-Ding, Jain, Naman, Olausson, Theo X., Lee, Celine, Sen, Koushik, Solar-Lezama, Armando
While language models are increasingly more proficient at code generation, they still frequently generate incorrect programs. Many of these programs are obviously wrong, but others are more subtle and pass weaker correctness checks such as being able
Externí odkaz:
http://arxiv.org/abs/2402.19475
Autor:
Lozhkov, Anton, Li, Raymond, Allal, Loubna Ben, Cassano, Federico, Lamy-Poirier, Joel, Tazi, Nouamane, Tang, Ao, Pykhtar, Dmytro, Liu, Jiawei, Wei, Yuxiang, Liu, Tianyang, Tian, Max, Kocetkov, Denis, Zucker, Arthur, Belkada, Younes, Wang, Zijian, Liu, Qian, Abulkhanov, Dmitry, Paul, Indraneil, Li, Zhuang, Li, Wen-Ding, Risdal, Megan, Li, Jia, Zhu, Jian, Zhuo, Terry Yue, Zheltonozhskii, Evgenii, Dade, Nii Osae Osae, Yu, Wenhao, Krauß, Lucas, Jain, Naman, Su, Yixuan, He, Xuanli, Dey, Manan, Abati, Edoardo, Chai, Yekun, Muennighoff, Niklas, Tang, Xiangru, Oblokulov, Muhtasham, Akiki, Christopher, Marone, Marc, Mou, Chenghao, Mishra, Mayank, Gu, Alex, Hui, Binyuan, Dao, Tri, Zebaze, Armel, Dehaene, Olivier, Patry, Nicolas, Xu, Canwen, McAuley, Julian, Hu, Han, Scholak, Torsten, Paquet, Sebastien, Robinson, Jennifer, Anderson, Carolyn Jane, Chapados, Nicolas, Patwary, Mostofa, Tajbakhsh, Nima, Jernite, Yacine, Ferrandis, Carlos Muñoz, Zhang, Lingming, Hughes, Sean, Wolf, Thomas, Guha, Arjun, von Werra, Leandro, de Vries, Harm
The BigCode project, an open-scientific collaboration focused on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder2. In partnership with Software Heritage (SWH), we build The Stack v2 on top of the digita
Externí odkaz:
http://arxiv.org/abs/2402.19173
Large language models (LLMs) are incredibly powerful at comprehending and generating data in the form of text, but are brittle and error-prone. There has been an advent of toolkits and recipes centered around so-called prompt engineering-the process
Externí odkaz:
http://arxiv.org/abs/2308.03854
Autor:
Jain, Naman, Gandhi, Shubham, Sonwane, Atharv, Kanade, Aditya, Natarajan, Nagarajan, Parthasarathy, Suresh, Rajamani, Sriram, Sharma, Rahul
Static analysis tools are traditionally used to detect and flag programs that violate properties. We show that static analysis tools can also be used to perturb programs that satisfy a property to construct variants that violate the property. Using t
Externí odkaz:
http://arxiv.org/abs/2307.12465
Autor:
Jain, Naman, Chandra, M Girish
Portfolio optimization is one of the most studied problems for demonstrating the near-term applications of quantum computing. However, large-scale problems cannot be solved on today's quantum hardware. In this work, we extend upon a study to use the
Externí odkaz:
http://arxiv.org/abs/2305.01480