Zobrazeno 1 - 10
of 8 959
pro vyhledávání: '"A. Sadhu"'
Autor:
Ji, Yuelyu, Ma, Wenhe, Sivarajkumar, Sonish, Zhang, Hang, Sadhu, Eugene Mathew, Li, Zhuochun, Wu, Xizhi, Visweswaran, Shyam, Wang, Yanshan
Recent advancements in large language models have demonstrated their potential in numerous medical applications, particularly in automating clinical trial matching for translational research and enhancing medical question answering for clinical decis
Externí odkaz:
http://arxiv.org/abs/2410.05180
Active-matter systems are inherently out-of-equilibrium and perform mechanical work by utilizing their internal energy sources. Breakdown of time-reversal symmetry (BTRS) is a hallmark of such dissipative non-equilibrium dynamics. We introduce a robu
Externí odkaz:
http://arxiv.org/abs/2409.10425
Autor:
Sadhu, Vivek
In this article, we revisit Weibel's conjecture for twisted $K$-theory. We also examine the vanishing of twisted negative $K$-groups for Pr\"{u}fer domains. Furthermore, we observe that the homotopy invariance of twisted $K$-theory holds for (finite-
Externí odkaz:
http://arxiv.org/abs/2409.06228
Due to emergent capabilities, large language models (LLMs) have been utilized as language-based agents to perform a variety of tasks and make decisions with an increasing degree of autonomy. These autonomous agents can understand high-level instructi
Externí odkaz:
http://arxiv.org/abs/2408.11021
Large language models (LLMs) have brought autonomous agents closer to artificial general intelligence (AGI) due to their promising generalization and emergent capabilities. There is, however, a lack of studies on how LLM-based agents behave, why they
Externí odkaz:
http://arxiv.org/abs/2408.06318
The influence of Large Language Models (LLMs) is rapidly growing, automating more jobs over time. Assessing the fairness of LLMs is crucial due to their expanding impact. Studies reveal the reflection of societal norms and biases in LLMs, which creat
Externí odkaz:
http://arxiv.org/abs/2407.06432
The rapid growth of Large Language Models (LLMs) has put forward the study of biases as a crucial field. It is important to assess the influence of different types of biases embedded in LLMs to ensure fair use in sensitive fields. Although there have
Externí odkaz:
http://arxiv.org/abs/2407.03536
Pretrained language models inherently exhibit various social biases, prompting a crucial examination of their social impact across various linguistic contexts due to their widespread usage. Previous studies have provided numerous methods for intrinsi
Externí odkaz:
http://arxiv.org/abs/2406.17375
Quantum architecture search (QAS) is a promising direction for optimization and automated design of quantum circuits towards quantum advantage. Recent techniques in QAS focus on machine learning-based approaches from reinforcement learning, like deep
Externí odkaz:
http://arxiv.org/abs/2406.17630
Autor:
Sadhu, Abhishek, Das, Siddhartha
Quantum steering is a kind of bipartite quantum correlations where one party's measurement remotely alters the state of another party. In an adversarial scenario, there could be a hidden variable introducing a bias in the choice of measurement settin
Externí odkaz:
http://arxiv.org/abs/2406.13494