LLMs Can Compensate for Deficiencies in Visual Representations.
CoRR, June, 2025
An Empirical Analysis of In-context Learning Abilities of LLMs for MT.
CoRR, 2024
Adversarially Exploring Vulnerabilities in LLMs to Evaluate Social Biases.
Proceedings of the IEEE International Conference on Big Data, 2024
An Empirical Study of In-context Learning in LLMs for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages.
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Trans. Mach. Learn. Res., 2023
NICT-AI4B's Submission to the Indic MT Shared Task in WMT 2023.
Proceedings of the Eighth Conference on Machine Translation, 2023
Improving Image-Based Dialog by Reducing Modality Biases.
Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021
Pothole Detection and Dimension Estimation System using Deep Learning (YOLO) and Image Processing.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020
Virtual Farmer: Real Time Crop Prediction and Automatic Irrigation System.
Proceedings of the 11th International Conference on Computing, 2020