Sarathkrishna Swaminathan

According to our database, Sarathkrishna Swaminathan authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.

Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici

CoRR, 2024

A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making.

Chitra Subramanian, Miao Liu, Naweed Khan, Jonathan Lenchner, Aporva Amarnath, Sarathkrishna Swaminathan, Ryan Riegel, Alexander Gray

CoRR, 2024

Larimar: Large Language Models with Episodic Memory Control.

Payel Das, Subhajit Chaudhury, Elliot Nelson, Igor Melnyk, Sarathkrishna Swaminathan, Sihui Dai, Aurélie C. Lozano, Georgios Kollias, Vijil Chenthamarakshan, Jirí Navrátil, Soham Dan, Pin-Yu Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Grounded Preference Model for LLM Alignment.

Tahira Naseem, Guangxuan Xu, Sarathkrishna Swaminathan, Asaf Yehudai, Subhajit Chaudhury, Radu Florian, Ramón Fernandez Astudillo, Asim Munawar

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.

Keerthiram Murugesan, Sarathkrishna Swaminathan, Soham Dan, Subhajit Chaudhury, R. Chulaka Gunasekara, Maxwell Crouse, Diwakar Mahajan, Ibrahim Abdelaziz, Achille Fokoue, Pavan Kapanipathi, Salim Roukos, Alexander Gray

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.

Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.

Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2017

Audience Validation in Online Media Using Limited Behavioral Data and Demographic Mix.

Wreetabrata Kar, Sarathkrishna Swaminathan, Viswanathan Swaminathan

Int. J. Semantic Comput., 2017

2016

A Unified View of Localized Kernel Learning.

John Moeller, Sarathkrishna Swaminathan, Suresh Venkatasubramanian

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Continuous Kernel Learning.

John Moeller, Vivek Srikumar, Sarathkrishna Swaminathan, Suresh Venkatasubramanian, Dustin Webb

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Audience Validation from Demographic Mix and Insufficient Individual Data.

Wreetabrata Kar, Sarathkrishna Swaminathan, Viswanathan Swaminathan

Proceedings of the IEEE International Symposium on Multimedia, 2016