Arkadeep Acharya

According to our database, Arkadeep Acharya authored at least 8 papers between 2023 and 2024.

Collaborative distances:

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

2024

NLLB-E5: A Scalable Multilingual Retrieval Model.

Arkadeep Acharya, Rudra Murthy, Vishwajeet Kumar, Jaydeep Sen

CoRR, 2024

Hindi-BEIR : A Large Scale Retrieval Benchmark in Hindi.

Arkadeep Acharya, Rudra Murthy, Vishwajeet Kumar, Jaydeep Sen

CoRR, 2024

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions.

Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Vinija Jain, Aman Chadha

CoRR, 2024

HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues.

Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Gaurav Pandey, Dinesh Raghu, Setu Sinha

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

MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries.

Akash Ghosh, Arkadeep Acharya, Prince Jha, Sriparna Saha, Aniket Gaudgaul, Rajdeep Majumdar, Aman Chadha, Raghav Jain, Setu Sinha, Shivani Agarwal

Proceedings of the Advances in Information Retrieval, 2024

CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare.

Akash Ghosh, Arkadeep Acharya, Raghav Jain, Sriparna Saha, Aman Chadha, Setu Sinha

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

2023

LLM Based Generation of Item-Description for Recommendation System.

Arkadeep Acharya, Brijraj Singh, Naoyuki Onoe

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models.

Raghav Jain, Daivik Sojitra, Arkadeep Acharya, Sriparna Saha, Adam Jatowt, Sandipan Dandapat

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023