Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Acharya, Arkadeep"'
Given the large number of Hindi speakers worldwide, there is a pressing need for robust and efficient information retrieval systems for Hindi. Despite ongoing research, comprehensive benchmarks for evaluating retrieval models in Hindi are lacking. To
Externí odkaz:
http://arxiv.org/abs/2409.05401
Given the large number of Hindi speakers worldwide, there is a pressing need for robust and efficient information retrieval systems for Hindi. Despite ongoing research, there is a lack of comprehensive benchmark for evaluating retrieval models in Hin
Externí odkaz:
http://arxiv.org/abs/2408.09437
The advent of Large Language Models (LLMs) has significantly reshaped the trajectory of the AI revolution. Nevertheless, these LLMs exhibit a notable limitation, as they are primarily adept at processing textual information. To address this constrain
Externí odkaz:
http://arxiv.org/abs/2404.07214
Autor:
Ghosh, Akash, Acharya, Arkadeep, Jha, Prince, Gaudgaul, Aniket, Majumdar, Rajdeep, Saha, Sriparna, Chadha, Aman, Jain, Raghav, Sinha, Setu, Agarwal, Shivani
In the healthcare domain, summarizing medical questions posed by patients is critical for improving doctor-patient interactions and medical decision-making. Although medical data has grown in complexity and quantity, the current body of research in t
Externí odkaz:
http://arxiv.org/abs/2401.01596
In the era of modern healthcare, swiftly generating medical question summaries is crucial for informed and timely patient care. Despite the increasing complexity and volume of medical data, existing studies have focused solely on text-based summariza
Externí odkaz:
http://arxiv.org/abs/2312.11541