Zobrazeno 1 - 10
of 16 813
pro vyhledávání: '"Chaudhury, P."'
Autor:
Andrea Llano Busta
Publikováno v:
Indialogs: Spanish Journal of India Studies, Vol 6, Iss 0, Pp 45-64 (2019)
Desde el cambio de paradigma en los años 90, la dimensión humana de la Partición ha ganado visibilidad en el ámbito académico, principalmente con respecto a las mujeres secuestradas. Tanto su rapto como las medidas gubernamentales adoptadas las
Externí odkaz:
https://doaj.org/article/b291040c7c4742ab947f4dfa60749be2
Autor:
Ko, Ching-Yun, Chen, Pin-Yu, Das, Payel, Mroueh, Youssef, Dan, Soham, Kollias, Georgios, Chaudhury, Subhajit, Pedapati, Tejaswini, Daniel, Luca
Reducing the likelihood of generating harmful and toxic output is an essential task when aligning large language models (LLMs). Existing methods mainly rely on training an external reward model (i.e., another language model) or fine-tuning the LLM us
Externí odkaz:
http://arxiv.org/abs/2410.03818
Survival prediction is a crucial task associated with cancer diagnosis and treatment planning. This paper presents a novel approach to survival prediction by harnessing comprehensive information from CT and PET scans, along with associated Genomic da
Externí odkaz:
http://arxiv.org/abs/2409.20179
Autor:
Chaudhury, Arkadeep Narayan, Vasiljevic, Igor, Zakharov, Sergey, Guizilini, Vitor, Ambrus, Rares, Narasimhan, Srinivasa, Atkeson, Christopher G.
Synthesizing accurate geometry and photo-realistic appearance of small scenes is an active area of research with compelling use cases in gaming, virtual reality, robotic-manipulation, autonomous driving, convenient product capture, and consumer-level
Externí odkaz:
http://arxiv.org/abs/2409.03061
In this study, we present a novel approach for predicting genomic information from medical imaging modalities using a transformer-based model. We aim to bridge the gap between imaging and genomics data by leveraging transformer networks, allowing for
Externí odkaz:
http://arxiv.org/abs/2408.00311
Akademický článek
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Addressing the issue of hallucinations in large language models (LLMs) is a critical challenge. As the cognitive mechanisms of hallucination have been related to memory, here we explore hallucination for LLM that is enabled with explicit memory mecha
Externí odkaz:
http://arxiv.org/abs/2407.16908
Autor:
Chaudhury, Sumilak, Johnson, Karl, Gao, Chengkuan, Lin, Bill, Fainman, Yeshaiahu, Hsueh, Tzu-Chien
An energy/area-efficient low-cost broadband linearity enhancement technique for electro-optic micro-ring modulators (MRM) is proposed to achieve 6.1-dB dynamic linearity improvement in spurious-free-dynamic-range with intermodulation distortions (IMD
Externí odkaz:
http://arxiv.org/abs/2407.11172
Current large language models (LLMs) often perform poorly on simple fact retrieval tasks. Here we investigate if coupling a dynamically adaptable external memory to a LLM can alleviate this problem. For this purpose, we test Larimar, a recently propo
Externí odkaz:
http://arxiv.org/abs/2407.01437
Autor:
Khatiwada, Aamod, Kokel, Harsha, Abdelaziz, Ibrahim, Chaudhury, Subhajit, Dolby, Julian, Hassanzadeh, Oktie, Huang, Zhenhan, Pedapati, Tejaswini, Samulowitz, Horst, Srinivas, Kavitha
Enterprises have a growing need to identify relevant tables in data lakes; e.g. tables that are unionable, joinable, or subsets of each other. Tabular neural models can be helpful for such data discovery tasks. In this paper, we present TabSketchFM,
Externí odkaz:
http://arxiv.org/abs/2407.01619