Koustava Goswami

According to our database, Koustava Goswami authored at least 27 papers between 2020 and 2025.

Collaborative distances:

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

2025

Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models.

Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar, Sriparna Saha, K. J. Joseph, Koustava Goswami

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs.

Anirudh Phukan, Divyansh, Harshit Kumar Morj, Vaishnavi, Apoorv Saxena, Koustava Goswami

CoRR, 2024

GenSco: Can Question Decomposition based Passage Alignment improve Question Answering?

Barah Fazili, Koustava Goswami, Natwar Modani, Inderjeet Nair

CoRR, 2024

SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation.

Sayan Nag, Koustava Goswami, Srikrishna Karanam

CoRR, 2024

"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP.

Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson

CoRR, 2024

Social Media Ready Caption Generation for Brands.

Himanshu Maheshwari, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan

CoRR, 2024

Iterative Multi-granular Image Editing using Diffusion Models.

K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan

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

Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges.

Abhilasha Sancheti, Koustava Goswami, Balaji Vasan Srinivasan

Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024

An Audit on the Perspectives and Challenges of Hallucinations in NLP.

Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson

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

Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition.

Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan

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

SafaRi: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation.

Sayan Nag, Koustava Goswami, Srikrishna Karanam

Proceedings of the Computer Vision - ECCV 2024, 2024

Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering.

Anirudh Phukan, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan

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

CoPL: Contextual Prompt Learning for Vision-Language Understanding.

Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K. J. Joseph, Balaji Vasan Srinivasan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Contextual Prompt Learning for Vision-Language Understanding.

Koustava Goswami, Srikrishna Karanam, K. J. Joseph, Prateksha Udhayanan, Balaji Vasan Srinivasan

CoRR, 2023

PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation.

Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, John P. McCrae

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis.

Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering.

Inderjeet Nair, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages.

Koustava Goswami, Priya Rani, Theodorus Fransen, John P. McCrae

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains.

Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Toward an Integrative Approach for Making Sense Distinctions.

John P. McCrae, Theodorus Fransen, Sina Ahmadi, Paul Buitelaar, Koustava Goswami

Frontiers Artif. Intell., 2022

2021

ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021.

Atul Kr. Ojha, Priya Rani, Koustava Goswami, Bharathi Raja Chakravarthi, John P. McCrae

Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

Cross-lingual Sentence Embedding using Multi-Task Learning.

Koustava Goswami, Sourav Dutta, Haytham Assem, Theodorus Fransen, John P. McCrae

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework.

Koustava Goswami, Sourav Dutta, Haytham Assem

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text.

Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational Recommendation.

Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, John P. McCrae

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Unsupervised Deep Language and Dialect Identification for Short Texts.

Koustava Goswami, Rajdeep Sarkar, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae

Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data.

Priya Rani, Shardul Suryawanshi, Koustava Goswami, Bharathi Raja Chakravarthi, Theodorus Fransen, John Philip McCrae

Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying, 2020