Akshita Jha
Orcid: 0000-0003-2330-6806
According to our database1,
Akshita Jha
authored at least 10 papers
between 2017 and 2024.
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Bibliography
2024
Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws.
CoRR, 2024
Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation.
CoRR, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
ACM Trans. Knowl. Discov. Data, February, 2023
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis.
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.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2021
CoRR, 2021
2017
When does a compliment become sexist? Analysis and classification of ambivalent sexism using twitter data.
Proceedings of the Second Workshop on NLP and Computational Social Science, 2017