Zobrazeno 1 - 10
of 11 355
pro vyhledávání: '"Pradipta, A"'
Autor:
Morishita, Rion, Mukherjee, Pradipta, El-Sadek, Ibrahim Abd, Seesan, Tanatchaya, Mori, Tomoko, Furukawa, Atsuko, Fukuda, Shinichi, Lukmanto, Donny, Matsusaka, Satoshi, Makita, Shuichi, Yasuno, Yoshiaki
Dynamic optical coherence tomography (DOCT) statistically analyzes fluctuations in time-sequential OCT signals, enabling label-free and three-dimensional visualization of intratissue and intracellular activities. Current DOCT methods, such as logarit
Externí odkaz:
http://arxiv.org/abs/2412.09351
We examined theoretically, experimentally and numerically the origin of the acoustothermal effect using a standing surface acoustic wave actuated sessile water droplet system. Despite a wealth of experimental studies and a few recent theoretical expl
Externí odkaz:
http://arxiv.org/abs/2410.18755
Autor:
Gema, Aryo Pradipta, Jin, Chen, Abdulaal, Ahmed, Diethe, Tom, Teare, Philip, Alex, Beatrice, Minervini, Pasquale, Saseendran, Amrutha
Large Language Models (LLMs) often hallucinate, producing unfaithful or factually incorrect outputs by misrepresenting the provided context or incorrectly recalling internal knowledge. Recent studies have identified specific attention heads within th
Externí odkaz:
http://arxiv.org/abs/2410.18860
Autor:
Zhao, Yu, Du, Xiaotang, Hong, Giwon, Gema, Aryo Pradipta, Devoto, Alessio, Wang, Hongru, He, Xuanli, Wong, Kam-Fai, Minervini, Pasquale
Large language models (LLMs) can store a significant amount of factual knowledge in their parameters. However, their parametric knowledge may conflict with the information provided in the context. Such conflicts can lead to undesirable model behaviou
Externí odkaz:
http://arxiv.org/abs/2410.16090
Autor:
Zhao, Yu, Devoto, Alessio, Hong, Giwon, Du, Xiaotang, Gema, Aryo Pradipta, Wang, Hongru, He, Xuanli, Wong, Kam-Fai, Minervini, Pasquale
Large language models (LLMs) can store a significant amount of factual knowledge in their parameters. However, their parametric knowledge may conflict with the information provided in the context -- this phenomenon, known as \emph{context-memory know
Externí odkaz:
http://arxiv.org/abs/2410.15999
Mathematical reasoning remains a significant challenge for large language models (LLMs), despite progress in prompting techniques such as Chain-of-Thought (CoT). We present Chain of Mathematically Annotated Thought (CoMAT), which enhances reasoning t
Externí odkaz:
http://arxiv.org/abs/2410.10336
Autor:
Krishnan, Chethan, Pathak, Pradipta S.
We identify a horizon-skimming limit under which wave equations around large classes of black holes allow a determination of their low-lying (quasi-)degenerate normal modes. Building on our recent work, we use these ``quantum horizon" normal modes to
Externí odkaz:
http://arxiv.org/abs/2410.00732
Autor:
Lysandrou, Giorgos, Owen, Roma English, Popovic, Vanja, Brun, Grant Le, Gema, Aryo Pradipta, Alex, Beatrice, Fairley, Elizabeth A. L.
There exists an invisible barrier between healthcare professionals' perception of a patient's clinical experience and the reality. This barrier may be induced by the environment that hinders patients from sharing their experiences openly with healthc
Externí odkaz:
http://arxiv.org/abs/2407.16593
Co-optimizing placement with congestion is integral to achieving high-quality designs. This paper presents GOALPlace, a new learning-based general approach to improving placement congestion by controlling cell density. Our method efficiently learns f
Externí odkaz:
http://arxiv.org/abs/2407.04579
Using matter-wave interference, we have investigated thermal phase fluctuations in narrow coplanar, concentric rings of ultracold fermionic superfluids. We found that the correlation length decreases with number density, consistent with theoretical e
Externí odkaz:
http://arxiv.org/abs/2407.04229