Akshita Jha

According to our database, Akshita Jha authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

PersonaTeaming: Supporting Persona-Driven Red-Teaming for Generative AI.

Wesley Hanwen Deng, Mingxi Yan, Sunnie S. Y. Kim, Akshita Jha, Lauren Wilcox, Kenneth Holstein, Motahhare Eslami, Leon A. Gatys

CoRR, May, 2026

2025

PersonaTeaming: Exploring How Introducing Personas Can Improve Automated AI Red-Teaming.

Wesley Hanwen Deng, Sunnie S. Y. Kim, Akshita Jha, Ken Holstein, Motahhare Eslami, Lauren Wilcox, Leon A. Gatys

CoRR, September, 2025

Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning.

Sanchit Kabra, Akshita Jha, Chandan K. Reddy

CoRR, April, 2025

Adversarial Risks and Stereotype Mitigation at Scale in Generative Models.

Akshita Jha

PhD thesis, 2025

Examining and Mitigating Ability-bias in LLMs via Self-Reflection.

Neel Iyer, Akshita Jha, Alisha Pradhan

Proceedings of the 22nd International Web for All Conference, 2025

Examining Age-Bias and Stereotypes of Aging in LLMs.

Sherwin Dewan, Ismail Shaikh, Connie Shaw, Abhilash Sahoo, Akshita Jha, Alisha Pradhan

Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility, 2025

2024

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws.

Akshita Jha, Sanchit Kabra, Chandan K. Reddy

CoRR, 2024

Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.

Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev

CoRR, 2024

ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.

Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Supervised Contrastive Learning for Interpretable Long-Form Document Matching.

Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy

ACM Trans. Knowl. Discov. Data, February, 2023

Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis.

Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy

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

SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models.

Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev

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

CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models.

Akshita Jha, Chandan K. Reddy

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Supervised Contrastive Learning for Interpretable Long Document Comparison.

Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy

CoRR, 2021

Fair Representation Learning using Interpolation Enabled Disentanglement.

Akshita Jha, Bhanukiran Vinzamuri, Chandan K. Reddy

CoRR, 2021

2017

When does a compliment become sexist? Analysis and classification of ambivalent sexism using twitter data.

Akshita Jha, Radhika Mamidi

Proceedings of the Second Workshop on NLP and Computational Social Science, 2017