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 (TRAC@LREC, 2020)

Unsupervised Deep Language and Dialect Identification for Short Texts. - Koustava Goswami; Rajdeep Sarkar; Bharathi Raja Chakravarthi; Theodorus Fransen; John P. McCrae (COLING, 2020)

Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational Recommendation. - Rajdeep Sarkar; Koustava Goswami; Mihael Arcan; John P. McCrae (COLING, 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 (SemEval@COLING, 2020)

Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework. - Koustava Goswami; Sourav Dutta 001; Haytham Assem (IEEE BigData, 2021)

Cross-lingual Sentence Embedding using Multi-Task Learning. - Koustava Goswami; Sourav Dutta 001; Haytham Assem; Theodorus Fransen; John P. McCrae (EMNLP (1), 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 (SMM4H@NAACL-HLT, 2021)

Toward an Integrative Approach for Making Sense Distinctions. - John P. McCrae; Theodorus Fransen; Sina Ahmadi; Paul Buitelaar; Koustava Goswami (Frontiers Artif. Intell., 2022)

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. - Koustava Goswami; Lukas Lange; Jun Araki; Heike Adel (EACL, 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 (EMNLP (Findings), 2023)

Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering. - Inderjeet Nair; Shwetha Somasundaram; Apoorv Saxena; Koustava Goswami (EMNLP (Findings), 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 (ICCV, 2023)

PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation. - Rajdeep Sarkar; Koustava Goswami; Mihael Arcan; John P. McCrae (PAKDD (4), 2023)

Contextual Prompt Learning for Vision-Language Understanding. - Koustava Goswami; Srikrishna Karanam; K. J. Joseph; Prateksha Udhayanan; Balaji Vasan Srinivasan (CoRR, 2023)

CoPL: Contextual Prompt Learning for Vision-Language Understanding. - Koustava Goswami; Srikrishna Karanam; Prateksha Udhayanan; K. J. Joseph; Balaji Vasan Srinivasan (AAAI, 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 (ACL (Findings), 2024)

SafaRi: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. - Sayan Nag; Koustava Goswami; Srikrishna Karanam (ECCV (44), 2024)

Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition. - Pritika Ramu; Koustava Goswami; Apoorv Saxena; Balaji Vasan Srinivasan (EMNLP, 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 (EMNLP, 2024)

Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges. - Abhilasha Sancheti; Koustava Goswami; Balaji Vasan Srinivasan (*SEM@NAACL, 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 (WACV, 2024)

Social Media Ready Caption Generation for Brands. - Himanshu Maheshwari; Koustava Goswami; Apoorv Saxena; Balaji Vasan Srinivasan (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)

SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. - Sayan Nag; Koustava Goswami; Srikrishna Karanam (CoRR, 2024)

GenSco: Can Question Decomposition based Passage Alignment improve Question Answering? - Barah Fazili; Koustava Goswami; Natwar Modani; Inderjeet Nair (CoRR, 2024)

Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models. - Sofia Jamil; Bollampalli Areen Reddy; Raghvendra Kumar 003; Sriparna Saha 001; K. J. Joseph; Koustava Goswami (COLING, 2025)

Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs. - Anirudh Phukan; Divyansh; Harshit Kumar Morj; Vaishnavi; Apoorv Saxena; Koustava Goswami (NAACL (Long Papers), 2025)

PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt Refinement. - Sofia Jamil; Bollampalli Areen Reddy; Raghvendra Kumar 003; Sriparna Saha 001; Koustava Goswami; K. J. Joseph (CoRR, 2025)