When does a compliment become sexist? Analysis and classification of ambivalent sexism using twitter data. - Akshita Jha; Radhika Mamidi (NLP+CSS@ACL, 2017)

Fair Representation Learning using Interpolation Enabled Disentanglement. - Akshita Jha; Bhanukiran Vinzamuri; Chandan K. Reddy (CoRR, 2021)

Supervised Contrastive Learning for Interpretable Long Document Comparison. - Akshita Jha; Vineeth Rakesh; Jaideep Chandrashekar; Adithya Samavedhi; Chandan K. Reddy (CoRR, 2021)

CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models. - Akshita Jha; Chandan K. Reddy (AAAI, 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 (ACL (1), 2023)

Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. - Akshita Jha; Adithya Samavedhi; Vineeth Rakesh; Jaideep Chandrashekar; Chandan K. Reddy (EACL (Findings), 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, 2023)

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 (ACL (1), 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)

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws. - Akshita Jha; Sanchit Kabra; Chandan K. Reddy (CoRR, 2024)

Adversarial Risks and Stereotype Mitigation at Scale in Generative Models. - Akshita Jha (2025)

Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning. - Sanchit Kabra; Akshita Jha; Chandan K. Reddy (CoRR, 2025)