Sonal Kumar

According to our database, Sonal Kumar authored at least 31 papers between 2009 and 2024.

Collaborative distances:

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

2024

DatUS: Data-Driven Unsupervised Semantic Segmentation With Pretrained Self-Supervised Vision Transformer.

Sonal Kumar, Arijit Sur, Rashmi Dutta Baruah

IEEE Trans. Cogn. Dev. Syst., October, 2024

ReCLAP: Improving Zero Shot Audio Classification by Describing Sounds.

Sreyan Ghosh, Sonal Kumar, Chandra Kiran Reddy Evuru, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha

CoRR, 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, Sakshi Singh, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha

CoRR, 2024

LipGER: Visually-Conditioned Generative Error Correction for Robust Automatic Speech Recognition.

Sreyan Ghosh, Sonal Kumar, Ashish Seth, Purva Chiniya, Utkarsh Tyagi, Ramani Duraiswami, Dinesh Manocha

CoRR, 2024

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

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

CoRR, 2024

VDGD: Mitigating LVLM Hallucinations in Cognitive Prompts by Bridging the Visual Perception Gap.

Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi, Oriol Nieto, Zeyu Jin, Dinesh Manocha

CoRR, 2024

Do Vision-Language Models Understand Compound Nouns?

Sonal Kumar, Sreyan Ghosh, Sakshi Singh, Utkarsh Tyagi, Dinesh Manocha

CoRR, 2024

DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer.

Sonal Kumar, Arijit Sur, Rashmi Dutta Baruah

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

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

IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature Representation.

Sonal Kumar, Anirudh Phukan, Arijit Sur

Proceedings of the IEEE International Conference on Acoustics, 2024

Recap: Retrieval-Augmented Audio Captioning.

Sreyan Ghosh, Sonal Kumar, Chandra Kiran Reddy Evuru, Ramani Duraiswami, Dinesh Manocha

Proceedings of the IEEE International Conference on Acoustics, 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

AV-RIR: Audio-Visual Room Impulse Response Estimation.

Anton Ratnarajah, Sreyan Ghosh, Sonal Kumar, Purva Chiniya, Dinesh Manocha

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

2023

ASPIRE: Language-Guided Augmentation for Robust Image Classification.

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

CoRR, 2023

BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER.

Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network.

Sreyan Ghosh, Manan Suri, Purva Chiniya, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha

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

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

BSSFFS: blockchain-based sybil-secured smart forest fire surveillance.

Sreemana Datta, Sonal Kumar, Ditipriya Sinha, Ayan Kumar Das

J. Ambient Intell. Humaniz. Comput., 2022

A novel multimodal dynamic fusion network for disfluency detection in spoken utterances.

Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Manan Suri, Rajiv Ratn Shah

CoRR, 2022

Span Classification with Structured Information for Disfluency Detection in Spoken Utterances.

Sreyan Ghosh, Sonal Kumar, Yaman Kumar, Rajiv Ratn Shah, Srinivasan Umesh

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Cisco at AAAI-CAD21 shared task: Predicting Emphasis in Presentation Slides using Contextualised Embeddings.

Sreyan Ghosh, Sonal Kumar, Harsh Jalan, Hemant Yadav, Rajiv Ratn Shah

CoRR, 2021

Cisco at SemEval-2021 Task 5: What's Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments.

Sreyan Ghosh, Sonal Kumar

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

2020

Blockchain-Based Sybil-Secure Data Transmission (SSDT) IoT Framework for Smart City Applications.

Sonal Kumar, Ayan Kumar Das, Ditipriya Sinha

Proceedings of the Evolution in Computational Intelligence, 2020

2009

Enabling web services for Classification of Satellite Image.

Sonal Kumar, Daya Gupta, V. K. Panchal, Shashi Kumar

Proceedings of the 2009 International Conference on Semantic Web & Web Services, 2009