Ramaneswaran S.

According to our database, Ramaneswaran S. authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

Emotion-Aware Multimodal Fusion for Meme Emotion Detection.

Shivam Sharma, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty

IEEE Trans. Affect. Comput., 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 Audio-Language Models Understand Linguistic Variations?

Ramaneswaran Selvakumar, Sonal Kumar, Hemant Kumar Giri, Nishit Anand, Ashish Seth, Sreyan Ghosh, Dinesh Manocha

CoRR, 2024

PAT: Parameter-Free Audio-Text Aligner to Boost Zero-Shot Audio Classification.

Ashish Seth, Ramaneswaran Selvakumar, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha

CoRR, 2024

Composite Diffusion: whole >= Σparts.

Vikram Jamwal, Ramaneswaran S.

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP.

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

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

A Closer Look at the Limitations of Instruction Tuning.

Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S., Deepali Aneja, Zeyu Jin, Ramani Duraiswami, Dinesh Manocha

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models.

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

Proceedings of the Twelfth International Conference on Learning Representations, 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

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

2023

From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues.

Shivani Kumar, Ramaneswaran S., Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DALE: Generative Data Augmentation for Low-Resource Legal NLP.

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization.

Shivam Sharma, Ramaneswaran S., Udit Arora, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER.

Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S., Dinesh Manocha

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Span Extraction Aided Improved Code-mixed Sentiment Classification.

Ramaneswaran S., Sean Benhur, Sreyan Ghosh

Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022