Utkarsh Tyagi

According to our database, Utkarsh Tyagi authored at least 22 papers between 2019 and 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

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

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

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

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

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

MMER: Multimodal Multi-task Learning for Speech Emotion Recognition.

Sreyan Ghosh, Utkarsh Tyagi, S. Ramaneswaran, Harshvardhan Srivastava, Dinesh Manocha

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

AdVerb: Visually Guided Audio Dereverberation.

Sanjoy Chowdhury, Sreyan Ghosh, Subhrajyoti Dasgupta, Anton Ratnarajah, Utkarsh Tyagi, Dinesh Manocha

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

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

2021

mFlameGaze: Mobile-Based Flame Gazing for Improving Sustained Attention.

Divyashikha Sethia, Anil Singh Parihar, Aheli Ghosh, Tanish Grover, Deep Diwakar, Shivam Kumar, Utkarsh Tyagi

Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

2019

Classifying Question Papers with Bloom's Taxonomy Using Machine Learning Techniques.

Minni Jain, Rohit Beniwal, Aheli Ghosh, Tanish Grover, Utkarsh Tyagi

Proceedings of the Advances in Computing and Data Sciences, 2019