Soundar Srinivasan

17 papers Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-tuning Small Language Models as Efficient Enterprise Search Relevance Labelers. CoRR Yue Kang, Zhuoyi Huang, Benji Schussheim, Diana Licon, Dina Atia, Shixing Cao, Jacob Danovitch, Kunho Kim, Billy Norcilien, Jonah Karpman, Mahmound Sayed, Mike Taylor, Tao Sun, Pavel Metrikov, Vipul Agarwal, Chris Quirk, Ye-Yi Wang, Nick Craswell, Irene Shaffer, Tianwei Chen, Sulaiman Vesal, Soundar Srinivasan
2025	J	`jnl`	Auto-Eval Judge: Towards a General Agentic Framework for Task Completion Evaluation. CoRR Roshita Bhonsle, Rishav Dutta, Sneha Vavilapalli, Harsh Seth, Abubakarr Jaye, Yapei Chang, Mukund Rungta, Emmanuel Aboah Boateng, Sadid Hasan, Ehi Nosakhare, Soundar Srinivasan
2025	—	`conf`	Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting. NAACL (Industry Track) Emmanuel Aboah Boateng, Cassiano O. Becker, Nabiha Asghar, Kabir Walia, Ashwin Srinivasan, Ehi Nosakhare, Soundar Srinivasan, Victor Dibia
2025	J	`jnl`	High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training. CoRR Zhuoyi Huang, Nutan Sahoo, Anamika Kumari, Girish Kumar, Kexuan Cai, Shixing Cao, Yue Kang, Tian Xia, Somya Chatterjee, Nick Hausman, Aidan Jay, Eric S. Rosenthal, Soundar Srinivasan, Sadid Hasan, Alex Fedorov, Sulaiman Vesal
2025	J	`jnl`	One Head, Many Models: Cross-Attention Routing for Cost-Aware LLM Selection. CoRR Roshini Pulishetty, Mani Kishan Ghantasala, Keerthy Kaushik Dasoju, Niti Mangwani, Vishal Garimella, Aditya Mate, Somya Chatterjee, Yue Kang, Ehi Nosakhare, Sadid Hasan, Soundar Srinivasan
2024	J	`jnl`	Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting. CoRR Emmanuel Aboah Boateng, Cassiano O. Becker, Nabiha Asghar, Kabir Walia, Ashwin Srinivasan, Ehi Nosakhare, Victor Dibia, Soundar Srinivasan
2021	J	`jnl`	Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents. CoRR Amit Gupte, Alexey Romanov, Sahitya Mantravadi, Dalitso Banda, Jianjie Liu, Raza Khan, Lakshmanan Ramu Meenal, Benjamin Han, Soundar Srinivasan
2021	J	`jnl`	PerfGuard: Deploying ML-for-Systems without Performance Regressions, Almost! Proc. VLDB Endow. H. M. Sajjad Hossain, Marc T. Friedman, Hiren Patel, Shi Qiao, Soundar Srinivasan, Markus Weimer, Remmelt Ammerlaan, Lucas Rosenblatt, Gilbert Antonius, Peter Orenberg, Vijay Ramani, Abhishek Roy, Irene Shaffer, Alekh Jindal
2020	—	`conf`	Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter. ER (Workshops) Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao
2020	J	`jnl`	Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter. CoRR Pulkit Sharma, Shezan Rohinton Mirzan, Apurva Bhandari, Anish Pimpley, Abhiram Eswaran, Soundar Srinivasan, Liqun Shao
2020	J	`jnl`	Examination and Extension of Strategies for Improving Personalized Language Modeling via Interpolation. CoRR Liqun Shao, Sahitya Mantravadi, Tom Manzini, Alejandro Buendia, Manon Knoertzer, Soundar Srinivasan, Chris Quirk
2020	J	`jnl`	Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift. CoRR Subhro Das, Prasanth Lade, Soundar Srinivasan
2019	—	`conf`	Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. SoCC Liqun Shao, Yiwen Zhu, Siqi Liu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
2019	J	`jnl`	Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. CoRR Liqun Shao, Yiwen Zhu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Siqi Liu, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos
2017	J	`jnl`	Manufacturing Analytics and Industrial Internet of Things. IEEE Intell. Syst. Prasanth Lade, Rumi Ghosh, Soundar Srinivasan
2016	J	`jnl`	Dealing with Class Imbalance using Thresholding. CoRR Charmgil Hong, Rumi Ghosh, Soundar Srinivasan
2015	—	`conf`	Cost-sensitive optimization of automated inspection. IEEE BigData Goktug T. Cinar, Jeffrey Thompson, Soundar Srinivasan