Koustava Goswami

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Language Understanding

Adobe Photoshop

Weakly Supervised

Top Venues

EMNLP (Findings)

Publications

Anirudh Phukan, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan
Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering. CoRR (2024)
Himanshu Maheshwari, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan
Social Media Ready Caption Generation for Brands. CoRR (2024)
Barah Fazili, Koustava Goswami, Natwar Modani, Inderjeet Nair
GenSco: Can Question Decomposition based Passage Alignment improve Question Answering? CoRR (2024)
Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson
"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP. CoRR (2024)
Abhilasha Sancheti, Koustava Goswami, Balaji Vasan Srinivasan
Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges. *SEM@NAACL (2024)
Abhilasha Sancheti, Koustava Goswami, Balaji Vasan Srinivasan
Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges. CoRR (2024)
Sayan Nag, Koustava Goswami, Srikrishna Karanam
SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. CoRR (2024)
K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan
Iterative Multi-granular Image Editing using Diffusion Models. WACV (2024)
Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K. J. Joseph, Balaji Vasan Srinivasan
CoPL: Contextual Prompt Learning for Vision-Language Understanding. AAAI (2024)
Anirudh Phukan, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan
Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering. ACL (Findings) (2024)
Koustava Goswami, Priya Rani, Theodorus Fransen, John P. McCrae
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages. EMNLP (Findings) (2023)
Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. ICCV (2023)
Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. EACL (2023)
Inderjeet Nair, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering. CoRR (2023)
Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. CoRR (2023)
K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal, Srikrishna Karanam, Koustava Goswami, Balaji Vasan Srinivasan
Iterative Multi-granular Image Editing using Diffusion Models. CoRR (2023)
Koustava Goswami, Priya Rani, Theodorus Fransen, John P. McCrae
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages. CoRR (2023)
Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, John P. McCrae
PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation. PAKDD (4) (2023)
Koustava Goswami, Srikrishna Karanam, K. J. Joseph, Prateksha Udhayanan, Balaji Vasan Srinivasan
Contextual Prompt Learning for Vision-Language Understanding. CoRR (2023)
Inderjeet Nair, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering. EMNLP (Findings) (2023)
Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. CoRR (2023)
John P. McCrae, Theodorus Fransen, Sina Ahmadi, Paul Buitelaar, Koustava Goswami
Toward an Integrative Approach for Making Sense Distinctions. Frontiers Artif. Intell. 5 (2022)
Koustava Goswami, Sourav Dutta, Haytham Assem, Theodorus Fransen, John P. McCrae
Cross-lingual Sentence Embedding using Multi-Task Learning. EMNLP (1) (2021)
Koustava Goswami, Sourav Dutta, Haytham Assem
Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework. IEEE BigData (2021)
Atul Kr. Ojha, Priya Rani, Koustava Goswami, Bharathi Raja Chakravarthi, John P. McCrae
ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021. SMM4H@NAACL-HLT (2021)
Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae
ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text. CoRR (2020)
Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae
ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text. SemEval@COLING (2020)
Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, John P. McCrae
Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational Recommendation. COLING (2020)
Priya Rani, Shardul Suryawanshi, Koustava Goswami, Bharathi Raja Chakravarthi, Theodorus Fransen, John Philip McCrae
A Comparative Study of Different State-of-the-Art Hate Speech Detection Methods in Hindi-English Code-Mixed Data. TRAC@LREC (2020)
Koustava Goswami, Rajdeep Sarkar, Bharathi Raja Chakravarthi, Theodorus Fransen, John P. McCrae
Unsupervised Deep Language and Dialect Identification for Short Texts. COLING (2020)