| When does a Compliment become Sexist? Analysis and Classification of Ambivalent Sexism using Twitter Data A Jha, R Mamidi Proceedings of the second workshop on NLP and computational social science, 7-16, 2017 | 201 | 2017 |
| CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models A Jha, CK Reddy arXiv preprint arXiv:2206.00052, 2022 | 52 | 2022 |
| SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models A Jha, A Davani, CK Reddy, S Dave, V Prabhakaran, S Dev arXiv preprint arXiv:2305.11840, 2023 | 20 | 2023 |
| Supervised Contrastive Learning for Interpretable Long-Form Document Matching A Jha, V Rakesh, J Chandrashekhar, A Samavedhi, CK Reddy arXiv preprint arXiv:2108.09190, 2021 | 12 | 2021 |
| Building stereotype repositories with complementary approaches for scale and depth S Dev, A Jha, J Goyal, D Tewari, S Dave, V Prabhakaran Proceedings of the First Workshop on Cross-Cultural Considerations in NLP …, 2023 | 8 | 2023 |
| Building stereotype repositories with llms and community engagement for scale and depth S Dev, A Jha, J Goyal, D Tewari, S Dave, V Prabhakaran Cross-Cultural Considerations in NLP@ EACL 84, 2023 | 7 | 2023 |
| ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation A Jha, V Prabhakaran, R Denton, S Laszlo, S Dave, R Qadri, CK Reddy, ... arXiv preprint arXiv:2401.06310, 2024 | 6 | 2024 |
| Fair Representation Learning using Interpolation Enabled Disentanglement A Jha, B Vinzamuri, CK Reddy arXiv preprint arXiv:2108.00295, 2021 | 2 | 2021 |
| Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis A Jha, A Samavedhi, V Rakesh, J Chandrashekar, CK Reddy arXiv preprint arXiv:2302.03765, 2023 | | 2023 |
| Building Stereotype Repositories with Complementary Approaches S Dev, A Jha, J Goyal, D Tewari, S Dave, V Prabhakaran | | 2023 |
| Building NLP Evaluation Resources with LLMs and Community Engagement for Scale and Depth S Dev, A Jha, J Goyal, D Tewari, S Dave, V Prabhakaran Deep Learning Indaba 2023, 0 | | |
Chandan K. ReddyProfessor, Computer Science, Virginia Tech在 cs.vt.edu 的电子邮件经过验证
