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pro vyhledávání: '"P, Karmaker"'
Bangla (or "Bengali") is a language spoken by approximately 240 million native speakers and around 300 million people worldwide. Despite being the 5th largest spoken language in the world, Bangla is still a "low-resource" language, and existing pretr
Externí odkaz:
http://arxiv.org/abs/2410.21200
Autor:
Farhana, Effat, Sarkar, Souvika, Knipper, Ralph, Dey, Indrani, Narayanan, Hari, Puntambekar, Sadhana, Karmaker, Shubhra Kanti
Simulations are widely used to teach science in grade schools. These simulations are often augmented with a conversational artificial intelligence (AI) agent to provide real-time scaffolding support for students conducting experiments using the simul
Externí odkaz:
http://arxiv.org/abs/2407.06241
Autor:
Salvador, John, Bansal, Naman, Akter, Mousumi, Sarkar, Souvika, Das, Anupam, Karmaker, Shubhra Kanti
Semantic Overlap Summarization (SOS) is a constrained multi-document summarization task, where the constraint is to capture the common/overlapping information between two alternative narratives. While recent advancements in Large Language Models (LLM
Externí odkaz:
http://arxiv.org/abs/2402.17008
Autor:
Santu, Shubhra Kanti Karmaker, Sinha, Sanjeev Kumar, Bansal, Naman, Knipper, Alex, Sarkar, Souvika, Salvador, John, Mahajan, Yash, Guttikonda, Sri, Akter, Mousumi, Freestone, Matthew, Williams Jr, Matthew C.
One of the most important yet onerous tasks in the academic peer-reviewing process is composing meta-reviews, which involves understanding the core contributions, strengths, and weaknesses of a scholarly manuscript based on peer-review narratives fro
Externí odkaz:
http://arxiv.org/abs/2402.15589
Learning meaningful word embeddings is key to training a robust language model. The recent rise of Large Language Models (LLMs) has provided us with many new word/sentence/document embedding models. Although LLMs have shown remarkable advancement in
Externí odkaz:
http://arxiv.org/abs/2402.11094
As spiking neural networks receive more attention, we look toward applications of this computing paradigm in fields other than computer vision and signal processing. One major field, underexplored in the neuromorphic setting, is Natural Language Proc
Externí odkaz:
http://arxiv.org/abs/2401.17911
Large Language Models (LLMs) have demonstrated remarkable language understanding and generation capabilities. However, training, deploying, and accessing these models pose notable challenges, including resource-intensive demands, extended training du
Externí odkaz:
http://arxiv.org/abs/2401.16577
Autor:
Rahman, Md. Mahmudur, Islam, Sajid, Chowdhury, Showren, Zeba, Sadia Jahan, Karmaker, Debajyoti
This study delves into the flight behaviors of Budgerigars (Melopsittacus undulatus) to gain insights into their flight trajectories and movements. Using 3D reconstruction from stereo video camera recordings, we closely examine the velocity and accel
Externí odkaz:
http://arxiv.org/abs/2312.00597
Similar Narrative Retrieval is a crucial task since narratives are essential for explaining and understanding events, and multiple related narratives often help to create a holistic view of the event of interest. To accurately identify semantically s
Externí odkaz:
http://arxiv.org/abs/2309.04823
Envision an intelligent agent capable of assisting users in conducting forecasting tasks through intuitive, natural conversations, without requiring in-depth knowledge of the underlying machine learning (ML) processes. A significant challenge for the
Externí odkaz:
http://arxiv.org/abs/2309.03877