Zobrazeno 1 - 10
of 32 161
pro vyhledávání: '"P. Rosén"'
This paper presents a comparative analysis of hallucination detection systems for AI, focusing on automatic summarization and question answering tasks for Large Language Models (LLMs). We evaluate different hallucination detection systems using the d
Externí odkaz:
http://arxiv.org/abs/2411.05270
Autor:
Vangaru, Sriniketh, Rosen, Daniel, Green, Dylan, Rodriguez, Raphael, Wiecek, Maxwell, Johnson, Amos, Jones, Alyse M., Headley, William C.
Technological trends show that Radio Frequency Reinforcement Learning (RFRL) will play a prominent role in the wireless communication systems of the future. Applications of RFRL range from military communications jamming to enhancing WiFi networks. B
Externí odkaz:
http://arxiv.org/abs/2410.21521
Autor:
Shoshan, Yoel, Raboh, Moshiko, Ozery-Flato, Michal, Ratner, Vadim, Golts, Alex, Weber, Jeffrey K., Barkan, Ella, Rabinovici-Cohen, Simona, Polaczek, Sagi, Amos, Ido, Shapira, Ben, Hazan, Liam, Ninio, Matan, Ravid, Sivan, Danziger, Michael M., Morrone, Joseph A., Suryanarayanan, Parthasarathy, Rosen-Zvi, Michal, Hexter, Efrat
Drug discovery typically consists of multiple steps, including identifying a target protein key to a disease's etiology, validating that interacting with this target could prevent symptoms or cure the disease, discovering a small molecule or biologic
Externí odkaz:
http://arxiv.org/abs/2410.22367
Autor:
Marino, Emanuele, LaCour, R. Allen, Moore, Timothy C., van Dongen, Sjoerd W., Keller, Austin W., An, Di, Yang, Shengsong, Rosen, Daniel J., Gouget, Guillaume, Tsai, Esther H. R., Kagan, Cherie R., Kodger, Thomas E., Glotzer, Sharon C., Murray, Christopher B.
Publikováno v:
Nature Synthesis 3, 111-122, 2024
The synthesis of binary nanocrystal superlattices (BNSLs) enables the targeted integration of orthogonal physical properties, like photoluminescence and magnetism, into a single superstructure, unlocking a vast design space for multifunctional materi
Externí odkaz:
http://arxiv.org/abs/2410.17016
Autor:
Pavlovic, Liam, Rosen, David M.
Stein variational inference (SVI) is a sample-based approximate Bayesian inference technique that generates a sample set by jointly optimizing the samples' locations to minimize an information-theoretic measure of discrepancy with the target probabil
Externí odkaz:
http://arxiv.org/abs/2410.16195
How embedded, actively accreting low-mass protostars accrete their mass is still greatly debated. Observations are now piecing together the puzzle of embedded protostellar accretion, in particular with new facilities in the near-infrared. However, hi
Externí odkaz:
http://arxiv.org/abs/2410.14777
Autor:
Rosen, Ilan T., Muschinske, Sarah, Barrett, Cora N., Rower, David A., Das, Rabindra, Kim, David K., Niedzielski, Bethany M., Schuldt, Meghan, Serniak, Kyle, Schwartz, Mollie E., Yoder, Jonilyn L., Grover, Jeffrey A., Oliver, William D.
Arrays of coupled superconducting qubits are analog quantum simulators able to emulate a wide range of tight-binding models in parameter regimes that are difficult to access or adjust in natural materials. In this work, we use a superconducting qubit
Externí odkaz:
http://arxiv.org/abs/2410.07878
We present a comprehensive survey on the use of annotations in information visualizations, highlighting their crucial role in improving audience understanding and engagement with visual data. Our investigation encompasses empirical studies on annotat
Externí odkaz:
http://arxiv.org/abs/2410.05579
This paper presents an overview of the Burer-Monteiro method (BM), a technique that has been applied to solve robot perception problems to certifiable optimality in real-time. BM is often used to solve semidefinite programming relaxations, which can
Externí odkaz:
http://arxiv.org/abs/2410.00117
The planted random subgraph detection conjecture of Abram et al. (TCC 2023) asserts the pseudorandomness of a pair of graphs $(H, G)$, where $G$ is an Erdos-Renyi random graph on $n$ vertices, and $H$ is a random induced subgraph of $G$ on $k$ vertic
Externí odkaz:
http://arxiv.org/abs/2409.16227