Shaona Ghosh

According to our database, Shaona Ghosh authored at least 20 papers between 2013 and 2025.

Collaborative distances:

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

2025

CultureGuard: Towards Culturally-Aware Dataset and Guard Model for Multilingual Safety Applications.

Raviraj Joshi, Rakesh Paul, Kanishk Singla, Anusha Kamath, Michael Evans, Katherine Luna, Shaona Ghosh, Utkarsh Vaidya, Eileen Long, Sanjay Singh Chauhan, Niranjan Wartikar

CoRR, August, 2025

SafeSteer: Interpretable Safety Steering with Refusal-Evasion in LLMs.

Shaona Ghosh, Amrita Bhattacharjee, Yftah Ziser, Christopher Parisien

CoRR, June, 2025

Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis.

Jonathan Bennion, Shaona Ghosh, Mantek Singh, Nouha Dziri

CoRR, May, 2025

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons.

Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade-Montixi, Kurt Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion, Marisa Ferrara Boston, Mike Kuniavsky, Wiebke Hutiri, James Ezick, Malek Ben Salem, Rajat Sahay, Sujata S. Goswami, Usman Gohar, Ben Huang, Supheakmungkol Sarin, Elie Alhajjar, Canyu Chen, Roman Eng, Kashyap Ramanandula Manjusha, Virendra Mehta, Eileen Long, Murali Emani, Natan Vidra, Benjamin Rukundo, Abolfazl Shahbazi, Kongtao Chen, Rajat Ghosh, Vithursan Thangarasa, Pierre Peigné, Abhinav Singh, Max Bartolo, Satyapriya Krishna, Mubashara Akhtar, Rafael Gold, Cody Coleman, Luis Oala, Vassil Tashev, Joseph Marvin Imperial, Amy Russ, Sasidhar Kunapuli, Nicolas Miailhe, Julien Delaunay, Bhaktipriya Radharapu, Rajat Shinde, Tuesday, Debojyoti Dutta, Declan Grabb, Ananya Gangavarapu, Saurav Sahay, Agasthya Gangavarapu, Patrick Schramowski, Stephen Singam, Tom David, Xudong Han, Priyanka Mary Mammen, Tarunima Prabhakar, Venelin Kovatchev, Ahmed Ahmed, Kelvin N. Manyeki, Sandeep Madireddy, Foutse Khomh, Fedor Zhdanov, Joachim Baumann, Nina Vasan, Xianjun Yang, Carlos Mougn, Jibin Rajan Varghese, Hussain Chinoy, Seshakrishna Jitendar, Manil Maskey, Claire V. Hardgrove, Tianhao Li, Aakash Gupta, Emil Joswin, Yifan Mai, Shachi H. Kumar, Cigdem Patlak, Kevin Lu, Vincent Alessi, Sree Bhargavi Balija, Chenhe Gu, Robert Sullivan, James Gealy, Matt Lavrisa, James Goel, Peter Mattson, Percy Liang, Joaquin Vanschoren

CoRR, March, 2025

AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails.

Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, Aishwarya Padmakumar, Traian Rebedea, Jibin Rajan Varghese, Christopher Parisien

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Towards Inference-time Category-wise Safety Steering for Large Language Models.

Amrita Bhattacharjee, Shaona Ghosh, Traian Rebedea, Christopher Parisien

CoRR, 2024

Nemotron-4 340B Technical Report.

Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu

CoRR, 2024

AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts.

Shaona Ghosh, Prasoon Varshney, Erick Galinkin, Christopher Parisien

CoRR, 2024

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues.

Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh, Christopher Parisien

CoRR, 2024

CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues.

Makesh Narsimhan Sreedhar, Traian Rebedea, Shaona Ghosh, Jiaqi Zeng, Christopher Parisien

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

2021

Joint Learning of Portrait Intrinsic Decomposition and Relighting.

Mona Zehni, Shaona Ghosh, Krishna Sridhar, Sethu Raman

CoRR, 2021

2017

Neural Networks for Text Correction and Completion in Keyboard Decoding.

Shaona Ghosh, Per Ola Kristensson

CoRR, 2017

2016

Network Lasso Optimization For Smart City Ride Share Prediction.

Shaona Ghosh

CoRR, 2016

Online machine learning for networked data.

Shaona Ghosh

AI Matters, 2016

Extended Formulations for Online Action Selection on Big Action Sets.

Shaona Ghosh, Adam Prügel-Bennett

Proceedings of the Advances in Big Data, 2016

2015

Ising Bandits with Side Information.

Shaona Ghosh, Adam Prügel-Bennett

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Online Prediction at the Limit of Zero Temperature.

Mark Herbster, Stephen Pasteris, Shaona Ghosh

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Online Mean Field Approximation for Automated Experimentation.

Shaona Ghosh, Adam Prügel-Bennett

Proceedings of the 4th Workshop on Machine Learning for Interactive Systems, 2015

2013

Extended Formulations for Online Linear Bandit Optimization.

Shaona Ghosh, Adam Prügel-Bennett

CoRR, 2013

Towards Pareto Descent Directions in Sampling Experts for Multiple Tasks in an On-Line Learning Paradigm.

Shaona Ghosh, Chris Lovell, Steve R. Gunn

Proceedings of the Lifelong Machine Learning, 2013