Siddhartha Jain

28 papers A* 6A 3B 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Generative Selection for Best-of-N. CoRR Shubham Toshniwal, Aleksander Ficek, Siddhartha Jain, Wei Du, Vahid Noroozi, Sadegh Mahdavi, Somshubra Majumdar, Igor Gitman
2025	A*	`conf`	LiveBench: A Challenging, Contamination-Limited LLM Benchmark. ICLR Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Benjamin Feuer, Siddhartha Jain, Ravid Shwartz-Ziv, Neel Jain, Khalid Saifullah, Sreemanti Dey, Shubh-Agrawal, Sandeep Singh Sandha, Siddartha V. Naidu, Chinmay Hegde, Yann LeCun, Tom Goldstein, Willie Neiswanger, Micah Goldblum
2025	J	`jnl`	OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique. CoRR Wasi Uddin Ahmad, Somshubra Majumdar, Aleksander Ficek, Sean Narenthiran, Mehrzad Samadi, Jocelyn Huang, Siddhartha Jain, Vahid Noroozi, Boris Ginsburg
2025	J	`jnl`	OpenCodeReasoning: Advancing Data Distillation for Competitive Coding. CoRR Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, Aleksander Ficek, Siddhartha Jain, Jocelyn Huang, Vahid Noroozi, Boris Ginsburg
2025	J	`jnl`	Scaling Test-Time Compute to Achieve IOI Gold Medal with Open-Weight Models. CoRR Mehrzad Samadi, Aleksander Ficek, Sean Narenthiran, Siddhartha Jain, Wasi Uddin Ahmad, Somshubra Majumdar, Vahid Noroozi, Boris Ginsburg
2024	J	`jnl`	Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM. Proc. ACM Softw. Eng. Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray
2024	J	`jnl`	Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM. CoRR Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray
2024	—	`conf`	Lightweight reranking for language model generations. ACL (1) Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang
2024	J	`jnl`	LiveBench: A Challenging, Contamination-Free LLM Benchmark. CoRR 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
2024	A*	`conf`	Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. EMNLP Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
2024	J	`jnl`	Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies. CoRR Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun
2023	A*	`conf`	Multi-lingual Evaluation of Code Generation Models. ICLR 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
2023	J	`jnl`	Self-consistency for open-ended generations. CoRR Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang
2022	J	`jnl`	Multi-lingual Evaluation of Code Generation Models. CoRR 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
2021	J	`jnl`	Machine learning optimization of peptides for presentation by class II MHCs. Bioinform. Zheng Dai, Brooke D. Huisman, Haoyang Zeng, Brandon Carter, Siddhartha Jain, Michael E. Birnbaum, David K. Gifford
2021	A*	`conf`	Overinterpretation reveals image classification model pathologies. NeurIPS Brandon Carter, Siddhartha Jain, Jonas Mueller, David Gifford
2020	J	`jnl`	Information Condensing Active Learning. CoRR Siddhartha Jain, Ge Liu, David K. Gifford
2020	A*	`conf`	Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. AAAI Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford
2020	J	`jnl`	Overinterpretation reveals image classification model pathologies. CoRR Brandon Carter, Siddhartha Jain, Jonas Mueller, David K. Gifford
2019	J	`jnl`	Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. CoRR Siddhartha Jain, Ge Liu, Jonas Mueller, David K. Gifford
2019	A	`conf`	What made you do this? Understanding black-box decisions with sufficient input subsets. AISTATS Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford
2018	J	`jnl`	What made you do this? Understanding black-box decisions with sufficient input subsets. CoRR Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford
2016	J	`jnl`	Reconstructing the temporal progression of HIV-1 immune response pathways. Bioinform. Siddhartha Jain, Joel Arrais, Narasimhan J. Venkatachari, Velpandi Ayyavoo, Ziv Bar-Joseph
2014	J	`jnl`	Multitask Learning of Signaling and Regulatory Networks with Application to Studying Human Response to Flu. PLoS Comput. Biol. Siddhartha Jain, Anthony Gitter, Ziv Bar-Joseph
2011	A*	`conf`	A General Nogood-Learning Framework for Pseudo-Boolean Multi-Valued SAT. AAAI Siddhartha Jain, Ashish Sabharwal, Meinolf Sellmann
2011	A	`conf`	Large Neighborhood Search for Dial-a-Ride Problems. CP Siddhartha Jain, Pascal Van Hentenryck
2010	A	`conf`	A Complete Multi-valued SAT Solver. CP Siddhartha Jain, Eoin O'Mahony, Meinolf Sellmann
2010	B	`conf`	Upper Bounds on the Number of Solutions of Binary Integer Programs. CPAIOR Siddhartha Jain, Serdar Kadioglu, Meinolf Sellmann