Zobrazeno 1 - 10
of 88 114
pro vyhledávání: '"A., Ramachandran"'
Autor:
Gómez-González, V. M. A., Oskinova, L. M., Hamann, W. -R., Todt, H., Pauli, D., Serantes, S. Reyero, Bernini-Peron, M., Sander, A. C., Ramachandran, V., Vink, J. S., Crowther, P. A., Berlanas, S. R., ud-Doula, A., Gormaz-Matamala, A. C., Kehrig, C., Kuiper, R., Leitherer, C., Mahy, L., McLeod, A. F., Mehner, A., Morrell, N., Shenar, T., Telford, O. G., van Loon, J. Th., Tramper, F., Wofford, A.
Massive stars lead the ionization and mechanical feedback within young star-forming regions. The Large Magellanic Cloud (LMC) is an ideal galaxy for studying individual massive stars and quantifying their feedback contribution to the environment. We
Externí odkaz:
http://arxiv.org/abs/2411.14149
A fundamental problem in decentralized networked systems is to coordinate actions of different agents so that they reach a state of agreement. In such applications, it is additionally desirable that the actions at various nodes may not be anticipated
Externí odkaz:
http://arxiv.org/abs/2411.14123
We present results for the distance sensitivity oracle (DSO) problem, where one needs to preprocess a given directed weighted graph $G=(V,E)$ in order to answer queries about the shortest path distance from $s$ to $t$ in $G$ that avoids edge $e$, for
Externí odkaz:
http://arxiv.org/abs/2411.13728
Autor:
Pantha, Nishan, Ramasubramanian, Muthukumaran, Gurung, Iksha, Maskey, Manil, Ramachandran, Rahul
The rapid development in large language models (LLMs) has transformed the landscape of natural language processing and understanding (NLP/NLU), offering significant benefits across various domains. However, when applied to scientific research, these
Externí odkaz:
http://arxiv.org/abs/2411.08181
Autor:
Backs, Frank, Brands, S. A., de Koter, A., Kaper, L., Vink, J. S., Puls, J., Sundqvist, J., Tramper, F., Sana, H., Bernini-Peron, M., Bestenlehner, J. M., Crowther, P. A., Hawcroft, C., Ignace, R., Kuiper, R., van Loon, J. Th., Mahy, L., Marcolino, W., Najarro, F., Oskinova, L. M., Pauli, D., Ramachandran, V., Sander, A. A. C., Verhamme, O.
Mass loss through a stellar wind is an important physical process that steers the evolution of massive stars and controls the properties of their end-of-life products, such as the supernova type and the mass of compact remnants. For an accurate mass
Externí odkaz:
http://arxiv.org/abs/2411.06884
Quantization of foundational models (FMs) is significantly more challenging than traditional DNNs due to the emergence of large magnitude features called outliers. Existing outlier-aware algorithm/architecture co-design techniques either use mixed-pr
Externí odkaz:
http://arxiv.org/abs/2411.05282
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning
Autor:
Fu, Yujuan Velvin, Ramachandran, Giridhar Kaushik, Park, Namu, Lybarger, Kevin, Xia, Fei, Uzuner, Ozlem, Yetisgen, Meliha
Large language models (LLMs) such as ChatGPT are fine-tuned on large and diverse instruction-following corpora, and can generalize to new tasks. However, those instruction-tuned LLMs often perform poorly in specialized medical natural language unders
Externí odkaz:
http://arxiv.org/abs/2410.18955
Autor:
Kamath, Aditya K, Prabhu, Ramya, Mohan, Jayashree, Peter, Simon, Ramjee, Ramachandran, Panwar, Ashish
Each request in LLM inference goes through two phases: compute-bound prefill and memory-bandwidth-bound decode. To improve GPU utilization, recent systems use hybrid batching that combines the prefill and decode phases of different requests into the
Externí odkaz:
http://arxiv.org/abs/2410.18038
Structure, dynamics and phase transitions in electric field assembled colloidal crystals and glasses
Field-induced assembly of colloidal particles into structures of desired configurations is extremely relevant from the viewpoint of producing field-assembled micro-swimmers and reconfigurable smart materials. However, the behaviour of colloidal parti
Externí odkaz:
http://arxiv.org/abs/2410.16792
In the current digital landscape, supply chains have transformed into complex networks driven by the Internet of Things (IoT), necessitating enhanced data sharing and processing capabilities to ensure traceability and transparency. Leveraging Blockch
Externí odkaz:
http://arxiv.org/abs/2410.15568