Nivedha Sivakumar

According to our database, Nivedha Sivakumar authored at least 9 papers between 2018 and 2025.

Collaborative distances:

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

2025

DSO: Direct Steering Optimization for Bias Mitigation.

Lucas Monteiro Paes, Nivedha Sivakumar, Yinong Oliver Wang, Masha Fedzechkina Donaldson, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

CoRR, December, 2025

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution.

Falaah Arif Khan, Nivedha Sivakumar, Yinong Oliver Wang, Katherine Metcalf, Cezanne Camacho, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

CoRR, August, 2025

Fairness Dynamics During Training.

Krishna Patel, Nivedha Sivakumar, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

CoRR, June, 2025

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs.

Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Rin Metcalf Susa, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

CoRR, May, 2025

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs.

Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Bias after Prompting: Persistent Discrimination in Large Language Models.

Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models.

Natalie Mackraz, Nivedha Sivakumar, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff

CoRR, 2024

2021

Fair SA: Sensitivity Analysis for Fairness in Face Recognition.

Aparna R. Joshi, Xavier Suau Cuadros, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

2018

Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion.

Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018