Shivchander Sudalairaj

Researcher, MIT-IBM Watson AI Lab

Joined

September 2022

Names

Shivchander Sudalairaj (Preferred)

Emails

****@ibm.com (Confirmed)

****@mit.edu (Confirmed)

****@mail.uc.edu

****@gmail.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

MIT-IBM Watson AI Lab (ibm.com)

2022 – Present

MS student

University of Cincinnati (ceas.uc.edu)

2020 – 2022

Undergrad student

University of Cincinnati (ceas.uc.edu)

2017 – 2020

Advisors, Relations & Conflicts

No relations added

Expertise

Computer Vision

Present

Large Language Models

Present

Publications

CosyCPT: Coreness-Aware Synthetic Continued Pretraining
Wenlong Zhao, Shuang Yang, Abhishek Bhandwaldar, Eshwar Prasad Sivaramakrishnan, Seungwook Han, Shivchander Sudalairaj, Aldo Pareja, Krishnateja Killamsetty, Elvira Rui Xiong, Hao Wang, Kai Xu, Akash Srivastava, Andrew McCallum
- Submitted to ICLR 2026
- Readers: Everyone
Mitigating Premature Exploitation in Particle-based Monte Carlo for Inference-Time Scaling
Giorgio Giannone, Guangxuan Xu, Nikhil Shivakumar Nayak, Rohan Mahesh Awhad, Shivchander Sudalairaj, Kai Xu, Akash Srivastava
- Submitted to ICLR 2026
- Readers: Everyone
Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods
Isha Puri, Shivchander Sudalairaj, Guangxuan Xu, Abhishek Bhandwaldar, Kai Xu, Akash Srivastava
- NeurIPS 2025 poster
- Readers: Everyone
Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs
Aldo Pareja, Nikhil Shivakumar Nayak, Hao Wang, Krishnateja Killamsetty, Shivchander Sudalairaj, Wenlong Zhao, Seungwook Han, Abhishek Bhandwaldar, Guangxuan Xu, Kai Xu, Ligong Han, Luke Inglis, Akash Srivastava
- ICLR 2025 Poster
- Readers: Everyone
Preference Data Annotation with Guided Density Ratios
Guangxuan Xu, Kai Xu, Shivchander Sudalairaj, Akash Srivastava
- Submitted to ICLR 2025
- Readers: Everyone
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan Greenewald, Akash Srivastava
- NeurIPS 2023 poster
- Readers: Everyone
Mitigating Confirmation Bias in Semi-supervised Learning via Efficient Bayesian Model Averaging
Charlotte Loh, Rumen Dangovski, Shivchander Sudalairaj, Seungwook Han, Ligong Han, Leonid Karlinsky, Marin Soljacic, Akash Srivastava
- Accepted by TMLR
- Readers: Everyone
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
- ICML 2023 Poster
- Readers: Everyone
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies
Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava
- Published: 01 Jan 2023, Last Modified: 13 May 2023
- CoRR 2023
- Readers: Everyone
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries
Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava
- Published: 01 Jan 2023, Last Modified: 13 May 2023
- CoRR 2023
- Readers: Everyone

View all 17 publications

Co-Authors

View all 41 co-authors