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ORCIDSiddhartha Jain 0001
Person information
- affiliation: Nvidia
- affiliation (former): Amazon Alexa AI
- affiliation (former): Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
- affiliation (PhD): Carnegie Mellon University, Pittsburgh, PA, USA
- affiliation (former): Brown University, Providence, RI, USA
Other persons with the same name
- Siddhartha Jain 0002
![[0000-0003-2142-5801]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2142-5801")
— EPFL, Lausanne, Switzerland (and 1 more) - Siddhartha Jain 0003 — IIIT, Hyderabad, India
- Siddhartha Jain 0004 — University of Texas at Austin, TX, USA
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Journal Articles
- 2024
[j4]Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM. Proc. ACM Softw. Eng. 1(FSE): 951-971 (2024)- 2021
- [j3]Zheng Dai, Brooke D. Huisman, Haoyang Zeng, Brandon Carter, Siddhartha Jain, Michael E. Birnbaum, David K. Gifford:
Machine learning optimization of peptides for presentation by class II MHCs. Bioinform. 37(19): 3160-3167 (2021) - 2016
- [j2]Siddhartha Jain, Joel Arrais, Narasimhan J. Venkatachari, Velpandi Ayyavoo, Ziv Bar-Joseph:
Reconstructing the temporal progression of HIV-1 immune response pathways. Bioinform. 32(12): 253-261 (2016) - 2014
- [j1]Siddhartha Jain, Anthony Gitter, Ziv Bar-Joseph:
Multitask Learning of Signaling and Regulatory Networks with Application to Studying Human Response to Flu. PLoS Comput. Biol. 10(12) (2014)
Conference and Workshop Papers
- 2024
- [c9]Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang:
Lightweight reranking for language model generations. ACL (1) 2024: 6960-6984 - 2023
- [c8]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati:
Multi-lingual Evaluation of Code Generation Models. ICLR 2023 - 2021
- [c7]Brandon Carter, Siddhartha Jain, Jonas Mueller, David Gifford:
Overinterpretation reveals image classification model pathologies. NeurIPS 2021: 15395-15407 - 2020
- [c6]Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford:
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. AAAI 2020: 4264-4271 - 2019
- [c5]Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford:
What made you do this? Understanding black-box decisions with sufficient input subsets. AISTATS 2019: 567-576 - 2011
- [c4]Siddhartha Jain, Ashish Sabharwal, Meinolf Sellmann:
A General Nogood-Learning Framework for Pseudo-Boolean Multi-Valued SAT. AAAI 2011: 48-53 - [c3]Siddhartha Jain, Pascal Van Hentenryck:
Large Neighborhood Search for Dial-a-Ride Problems. CP 2011: 400-413 - 2010
- [c2]Siddhartha Jain, Eoin O'Mahony, Meinolf Sellmann:
A Complete Multi-valued SAT Solver. CP 2010: 281-296 - [c1]Siddhartha Jain, Serdar Kadioglu, Meinolf Sellmann:
Upper Bounds on the Number of Solutions of Binary Integer Programs. CPAIOR 2010: 203-218
Informal and Other Publications
- 2024
- [i9]Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray:
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. CoRR abs/2402.00097 (2024) - [i8]Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun:
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. CoRR abs/2406.06461 (2024) - [i7]Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Siddartha Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum:
LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR abs/2406.19314 (2024) - 2023
- [i6]Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang:
Self-consistency for open-ended generations. CoRR abs/2307.06857 (2023) - 2022
- [i5]Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang:
Multi-lingual Evaluation of Code Generation Models. CoRR abs/2210.14868 (2022) - 2020
- [i4]Siddhartha Jain, Ge Liu, David K. Gifford:
Information Condensing Active Learning. CoRR abs/2002.07916 (2020) - [i3]Brandon Carter, Siddhartha Jain, Jonas Mueller, David K. Gifford:
Overinterpretation reveals image classification model pathologies. CoRR abs/2003.08907 (2020) - 2019
- [i2]Siddhartha Jain, Ge Liu, Jonas Mueller, David K. Gifford:
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. CoRR abs/1906.07380 (2019) - 2018
- [i1]Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford:
What made you do this? Understanding black-box decisions with sufficient input subsets. CoRR abs/1810.03805 (2018)
Coauthor Index
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