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Koustava Goswami
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2020 – today
- 2026
- [c29]Sayan Nag, K. J. Joseph, Koustava Goswami, Vlad I. Morariu, Balaji Vasan Srinivasan:
Agentic Design Review System. AAAI 2026: 1991-1999 - [c28]Faizan Farooq Khan, K. J. Joseph, Koustava Goswami, Mohamed Elhoseiny
, Balaji Vasan Srinivasan:
Step-by-step Layered Design Generation. AAAI 2026: 22554-22562 - [c27]Sofia Jamil, Kotla Sai Charan, Sriparna Saha, Koustava Goswami, K. J. Joseph:
Crossing Borders: A Multimodal Challenge for Indian Poetry Translation and Image Generation. AAAI 2026: 38635-38643 - [c26]Sriram Balasubramanian, Samyadeep Basu, Koustava Goswami, Ryan Anthony Rossi, Varun Manjunatha, Roshan Santhosh, Ruiyi Zhang, Soheil Feizi, Nedim Lipka:
Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models. EACL (Volume 1: Long Papers) 2026: 5070-5084 - [i29]Runzhou Liu, Hailey Weingord, Sejal Mittal, Prakhar Dungarwal, Anusha Nandula, Bo Ni, Samyadeep Basu, Hongjie Chen, Nesreen K. Ahmed, Li Li, Jiayi Zhang, Koustava Goswami, Subhojyoti Mukherjee, Branislav Kveton, Puneet Mathur, Franck Dernoncourt, Yue Zhao, Yu Wang, Ryan A. Rossi, Zhengzhong Tu, Hongru Du:
Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis. CoRR abs/2602.13028 (2026) - [i28]Barah Fazili, Koustava Goswami:
Enhancing Multilingual Embeddings via Multi-Way Parallel Text Alignment. CoRR abs/2602.21543 (2026) - [i27]Xuechen Zhang, Koustava Goswami, Samet Oymak, Jiasi Chen, Nedim Lipka:
SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG. CoRR abs/2602.22225 (2026) - [i26]Yuchen Zhu, Jing Shi, Chongjian Ge, Hao Tan, Yiran Xu, Wanrong Zhu, Jason Kuen, Koustava Goswami, Rajiv Jain, Yongxin Chen, Molei Tao, Jiuxiang Gu:
FLARE: Diffusion for Hybrid Language Model. CoRR abs/2606.01774 (2026) - [i25]Yongjia Lei, Nedim Lipka, Zhisheng Qi, Utkarsh Sahu, Koustava Goswami, Franck Dernoncourt, Ryan A. Rossi, Yu Wang:
RL-Index: Reinforcement Learning for Retrieval Index Reasoning. CoRR abs/2606.16316 (2026) - [i24]Dang Quang Thien Tran, Quang V. Dang, Vinamra Tyagi, Sai Soorya Rao Veeravalli, Trang Nguyen, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Koustava Goswami, Samyadeep Basu:
MultAttnAttrib: Training-Free Multimodal Attribution in Long Document Question Answering. CoRR abs/2607.01420 (2026) - 2025
- [c25]Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar, Sriparna Saha, K. J. Joseph, Koustava Goswami:
Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models. COLING 2025: 9224-9237 - [c24]Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar, Sriparna Saha, Koustava Goswami:
PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt Refinement. ECAI 2025: 4484-4490 - [c23]Sofia Jamil, Kotla Sai Charan, Sriparna Saha, Koustava Goswami, K. J. Joseph:
Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation. EMNLP 2025: 19657-19665 - [c22]Sai Sundaresan
Subjective Behaviors and Preferences in LLM: Language of Browsing. EMNLP 2025: 24823-24836 - [c21]Sarmistha Das
Reasoning and Planning for Multimodal Large Language Models: A Multilingual and Cross-Domain Exploration. ACM Multimedia 2025: 14342-14343 - [c20]Anirudh Phukan
Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs. NAACL (Long Papers) 2025: 9661-9675 - [i23]Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar, Sriparna Saha, K. J. Joseph, Koustava Goswami:
Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models. CoRR abs/2501.05839 (2025) - [i22]Sofia Jamil, Bollampalli Areen Reddy, Raghvendra Kumar, Sriparna Saha, Koustava Goswami, K. J. Joseph:
PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt Refinement. CoRR abs/2507.13708 (2025) - [i21]Sayan Nag, K. J. Joseph, Koustava Goswami, Vlad I. Morariu, Balaji Vasan Srinivasan:
Agentic Design Review System. CoRR abs/2508.10745 (2025) - [i20]Sai Sundaresan, Harshita Chopra, Atanu R. Sinha, Koustava Goswami, Nagasai Saketh Naidu, Raghav Karan, N. Anushka:
Subjective Behaviors and Preferences in LLM: Language of Browsing. CoRR abs/2508.15474 (2025) - [i19]Sofia Jamil, Kotla Sai Charan, Sriparna Saha, Koustava Goswami, K. J. Joseph:
Do It Yourself (DIY): Modifying Images for Poems in a Zero-Shot Setting Using Weighted Prompt Manipulation. CoRR abs/2509.11878 (2025) - [i18]Sriram Balasubramaniam, Samyadeep Basu, Koustava Goswami, Ryan A. Rossi, Varun Manjunatha, Roshan Santhosh, Ruiyi Zhang, Soheil Feizi, Nedim Lipka:
Decomposition-Enhanced Training for Post-Hoc Attributions In Language Models. CoRR abs/2510.25766 (2025) - [i17]Sofia Jamil, Kotla Sai Charan, Sriparna Saha, Koustava Goswami, K. J. Joseph:
Crossing Borders: A Multimodal Challenge for Indian Poetry Translation and Image Generation. CoRR abs/2511.13689 (2025) - [i16]Faizan Farooq Khan, K. J. Joseph, Koustava Goswami, Mohamed Elhoseiny, Balaji Vasan Srinivasan:
Step-by-step Layered Design Generation. CoRR abs/2512.03335 (2025) - 2024
- [c19]Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K. J. Joseph, Balaji Vasan Srinivasan:
CoPL: Contextual Prompt Learning for Vision-Language Understanding. AAAI 2024: 18090-18098 - [c18]Anirudh Phukan
Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering. ACL (Findings) 2024: 11481-11495 - [c17]Sayan Nag, Koustava Goswami, Srikrishna Karanam:
SafaRi: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. ECCV (44) 2024: 485-503 - [c16]Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson:
An Audit on the Perspectives and Challenges of Hallucinations in NLP. EMNLP 2024: 6528-6548 - [c15]Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan:
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition. EMNLP 2024: 17790-17806 - [c14]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: 49-57 - [c13]K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal
Iterative Multi-granular Image Editing using Diffusion Models. WACV 2024: 8092-8101 - [i15]Himanshu Maheshwari, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan:
Social Media Ready Caption Generation for Brands. CoRR abs/2401.01637 (2024) - [i14]Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta
"Confidently Nonsensical?": A Critical Survey on the Perspectives and Challenges of 'Hallucinations' in NLP. CoRR abs/2404.07461 (2024) - [i13]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 abs/2405.17980 (2024) - [i12]Abhilasha Sancheti, Koustava Goswami, Balaji Vasan Srinivasan:
Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges. CoRR abs/2406.06938 (2024) - [i11]Sayan Nag, Koustava Goswami, Srikrishna Karanam:
SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation. CoRR abs/2407.02389 (2024) - [i10]Barah Fazili, Koustava Goswami, Natwar Modani, Inderjeet Nair:
GenSco: Can Question Decomposition based Passage Alignment improve Question Answering? CoRR abs/2407.10245 (2024) - [i9]Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan:
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition. CoRR abs/2409.17073 (2024) - [i8]Anirudh Phukan, Divyansh, Harshit Kumar Morj, Vaishnavi, Apoorv Saxena, Koustava Goswami:
Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs. CoRR abs/2411.19187 (2024) - 2023
- [c12]Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel:
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. EACL 2023: 2681-2687 - [c11]Koustava Goswami, Priya Rani, Theodorus Fransen
Weakly-supervised Deep Cognate Detection Framework for Low-Resourced Languages Using Morphological Knowledge of Closely-Related Languages. EMNLP (Findings) 2023: 531-541 - [c10]Inderjeet Nair, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami:
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering. EMNLP (Findings) 2023: 14593-14606 - [c9]Aishwarya Agarwal
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. ICCV 2023: 2283-2293 - [c8]Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, John P. McCrae:
PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation. PAKDD (4) 2023: 124-136 - [i7]Koustava Goswami, Lukas Lange, Jun Araki, Heike Adel:
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains. CoRR abs/2302.06868 (2023) - [i6]Aishwarya Agarwal
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. CoRR abs/2306.14544 (2023) - [i5]Koustava Goswami, Srikrishna Karanam, K. J. Joseph, Prateksha Udhayanan, Balaji Vasan Srinivasan:
Contextual Prompt Learning for Vision-Language Understanding. CoRR abs/2307.00910 (2023) - [i4]K. J. Joseph, Prateksha Udhayanan, Tripti Shukla, Aishwarya Agarwal
Iterative Multi-granular Image Editing using Diffusion Models. CoRR abs/2309.00613 (2023) - [i3]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 abs/2311.05155 (2023) - [i2]Inderjeet Nair, Shwetha Somasundaram, Apoorv Saxena, Koustava Goswami:
Drilling Down into the Discourse Structure with LLMs for Long Document Question Answering. CoRR abs/2311.13565 (2023) - 2022
- [j1]John P. McCrae
Toward an Integrative Approach for Making Sense Distinctions. Frontiers Artif. Intell. 5: 745626 (2022) - 2021
- [c7]Koustava Goswami, Sourav Dutta
Mufin: Enriching Semantic Understanding of Sentence Embedding using Dual Tune Framework. IEEE BigData 2021: 2034-2039 - [c6]Koustava Goswami, Sourav Dutta, Haytham Assem, Theodorus Fransen
Cross-lingual Sentence Embedding using Multi-Task Learning. EMNLP (1) 2021: 9099-9113 - [c5]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: 149-152 - 2020
- [c4]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: 42-48 - [c3]Koustava Goswami, Rajdeep Sarkar, Bharathi Raja Chakravarthi, Theodorus Fransen
Unsupervised Deep Language and Dialect Identification for Short Texts. COLING 2020: 1606-1617 - [c2]Rajdeep Sarkar, Koustava Goswami, Mihael Arcan, John P. McCrae:
Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational Recommendation. COLING 2020: 4179-4189 - [c1]Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi
ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text. SemEval@COLING 2020: 968-974 - [i1]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 abs/2008.01545 (2020)
Coauthor Index
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last updated on 2026-08-18 00:25 CEST by the dblp team
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