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pro vyhledávání: '"Subbiah P"'
Autor:
Lumer, Elias, Subbiah, Vamse Kumar, Burke, James A., Basavaraju, Pradeep Honaganahalli, Huber, Austin
Recent advancements in tool-equipped Agents (LLMs) have enabled complex tasks like secure database interactions and multi-agent code development. However, scaling tool capacity beyond agent reasoning or model limits remains a challenge. In this paper
Externí odkaz:
http://arxiv.org/abs/2410.14594
In recommendation systems, there has been a growth in the number of recommendable items (# of movies, music, products). When the set of recommendable items is large, training and evaluation of item recommendation models becomes computationally expens
Externí odkaz:
http://arxiv.org/abs/2410.06371
Tanker-based distribution systems have been prevalent in developing countries to supply clean and pure water in different regions. To efficiently operate such tanker service systems, a large fleet of tanker trucks are required to transport water amon
Externí odkaz:
http://arxiv.org/abs/2408.01184
Autor:
Maheshwari, Abhilasha, Misra, Shamik, Gudi, Ravindra, Subbiah, Senthilmurugan, Laspidou, Chrysi
Tanker water systems play critical role in providing adequate service to meet potable water demands in the face of acute water crisis in many cities globally. Managing tanker movements among the supply and demand sides requires an efficient schedulin
Externí odkaz:
http://arxiv.org/abs/2408.00431
Autor:
Subbiah, Melanie, Ladhak, Faisal, Mishra, Akankshya, Adams, Griffin, Chilton, Lydia B., McKeown, Kathleen
Human evaluation has been the gold standard for checking faithfulness in abstractive summarization. However, with a challenging source domain like narrative, multiple annotators can agree a summary is faithful, while missing details that are obvious
Externí odkaz:
http://arxiv.org/abs/2407.06501
Autor:
Yang, Li, Subbiah, Anushya, Patel, Hardik, Li, Judith Yue, Song, Yanwei, Mirghaderi, Reza, Aggarwal, Vikram
Large-language Models (LLMs) have been extremely successful at tasks like complex dialogue understanding, reasoning and coding due to their emergent abilities. These emergent abilities have been extended with multi-modality to include image, audio, a
Externí odkaz:
http://arxiv.org/abs/2406.02844
Autor:
Truong, Thanh-Dat, Prabhu, Utsav, Wang, Dongyi, Raj, Bhiksha, Gauch, Susan, Subbiah, Jeyamkondan, Luu, Khoa
Unsupervised Domain Adaptation has been an efficient approach to transferring the semantic segmentation model across data distributions. Meanwhile, the recent Open-vocabulary Semantic Scene understanding based on large-scale vision language models is
Externí odkaz:
http://arxiv.org/abs/2406.01429
Kniha
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We evaluate recent Large Language Models (LLMs) on the challenging task of summarizing short stories, which can be lengthy, and include nuanced subtext or scrambled timelines. Importantly, we work directly with authors to ensure that the stories have
Externí odkaz:
http://arxiv.org/abs/2403.01061
Akademický článek
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