S. Sakshi

According to our database, S. Sakshi authored at least 6 papers in 2024.

Collaborative distances:

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

2024

MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark.

S. Sakshi, Utkarsh Tyagi, Sonal Kumar, Ashish Seth, Ramaneswaran Selvakumar, Oriol Nieto, Ramani Duraiswami, Sreyan Ghosh, Dinesh Manocha

CoRR, 2024

Do Vision-Language Models Understand Compound Nouns?

Sonal Kumar, Sreyan Ghosh, S. Sakshi, Utkarsh Tyagi, Dinesh Manocha

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning.

Ashish Seth, Ramaneswaran Selvakumar, S. Sakshi, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities.

Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Reddy Evuru, Utkarsh Tyagi, S. Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions.

Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Chandra Kiran Reddy Evuru, Ramaneswaran S., S. Sakshi, Dinesh Manocha

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

ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations.

Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi, S. Sakshi, Sanjoy Chowdhury, Dinesh Manocha

Proceedings of the Findings of the Association for Computational Linguistics, 2024