Nivedha Sivakumar

12 papers A* 1A 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Bias after Prompting: Persistent Discrimination in Large Language Models. EMNLP (Findings) Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	Bias after Prompting: Persistent Discrimination in Large Language Models. CoRR Nivedha Sivakumar, Natalie Mackraz, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	DSO: Direct Steering Optimization for Bias Mitigation. CoRR Lucas Monteiro Paes, Nivedha Sivakumar, Yinong Oliver Wang, Masha Fedzechkina Donaldson, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	Fairness Dynamics During Training. CoRR Krishna Patel, Nivedha Sivakumar, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution. CoRR Falaah Arif Khan, Nivedha Sivakumar, Yinong Oliver Wang, Katherine Metcalf, Cezanne Camacho, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	A*	`conf`	Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. ICML Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2025	J	`jnl`	Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. CoRR Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Rin Metcalf Susa, Adam Golinski, Natalie Mackraz, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2024	J	`jnl`	Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models. CoRR Natalie Mackraz, Nivedha Sivakumar, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff
2022	J	`jnl`	Fair SA: Sensitivity Analysis for Fairness in Face Recognition. CoRR Aparna R. Joshi, Xavier Suau, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff
2021	—	`conf`	Fair SA: Sensitivity Analysis for Fairness in Face Recognition. AFCR Aparna R. Joshi, Xavier Suau Cuadros, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff
2018	A	`conf`	Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion. IROS Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar
2018	J	`jnl`	Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion. CoRR Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar