Enhancing Answer Reliability Through Inter-Model Consensus of Large Language Models

Autor: Amiri-Margavi, Alireza, Jebellat, Iman, Jebellat, Ehsan, Davoudi, Seyed Pouyan Mousavi

We explore the collaborative dynamics of an innovative language model interaction system involving advanced models such as GPT-4-0125-preview, Meta-LLaMA-3-70B-Instruct, Claude-3-Opus, and Gemini-1.5-Flash. These models generate and answer complex, P

Externí odkaz: http://arxiv.org/abs/2411.16797

BICEP/Keck XIX: Extremely Thin Composite Polymer Vacuum Windows for BICEP and Other High Throughput Millimeter Wave Telescopes

Autor: Collaboration, BICEP/Keck, Ade, P. A. R., Ahmed, Z., Amiri, M., Barkats, D., Thakur, R. Basu, Bischoff, C. A., Beck, D., Bock, J. J., Boenish, H., Buza, V., Carter, K., Cheshire IV, J. R., Connors, J., Cornelison, J., Corrigan, L., Crumrine, M., Crystian, S., Cukierman, A. J., Denison, E., Duband, L., Echter, M., Eiben, M., Elwood, B. D., Fatigoni, S., Filippini, J. P., Fortes, A., Gao, M., Giannakopoulos, C., Goeckner-Wald, N., Goldfinger, D. C., Grayson, J. A., Greathouse, A., Grimes, P. K., Hall, G., Halal, G., Halpern, M., Hand, E., Harrison, S. A., Henderson, S., Hubmayr, J., Hui, H., Irwin, K. D., Kang, J. H., Karkare, K. S., Kefeli, S., Kovac, J. M., Kuo, C., Lau, K., Lautzenhiser, M., Lennox, A., Liu, T., Megerian, K. G., Miller, M., Minutolo, L., Moncelsi, L., Nakato, Y., Nguyen, H. T., O'brient, R., Paine, S., Patel, A., Petroff, M. A., Polish, A. R., Prouve, T., Pryke, C., Reintsema, C. D., Romand, T., Santalucia, D., Schillaci, A., Schmitt, B., Sheffield, E., Singari, B., Sjoberg, K., Soliman, A., Germaine, T. St, Steiger, A., Steinbach, B., Sudiwala, R., Thompson, K. L., Tsai, C., Tucker, C., Turner, A. D., Vergès, C., Vieregg, A. G., Wandui, A., Weber, A. C., Willmert, J., Wu, W. L. K., Yang, H., Yu, C., Zeng, L., Zhang, C., Zhang, S.

Millimeter-wave refracting telescopes targeting the degree-scale structure of the cosmic microwave background (CMB) have recently grown to diffraction-limited apertures of over 0.5 meters. These instruments are entirely housed in vacuum cryostats to

Externí odkaz: http://arxiv.org/abs/2411.10428

Universal on-chip polarization handling with deep photonic networks

Autor: Vit, Aycan Deniz, Rzayev, Ujal, Danis, Bahrem Serhat, Amiri, Ali Najjar, Gorgulu, Kazim, Magden, Emir Salih

We propose a novel design paradigm for arbitrarily capable deep photonic networks of cascaded Mach-Zehnder Interferometers (MZIs) for on-chip universal polarization handling. Using a device architecture made of cascaded Mach-Zehnder interferometers,

Externí odkaz: http://arxiv.org/abs/2411.16698

Multi-Attribute Linguistic Tuning for Controlled Paraphrase Generation

Autor: Elgaar, Mohamed, Amiri, Hadi

We present a novel approach to paraphrase generation that enables precise control and fine-tuning of 40 linguistic attributes for English. Our model is an encoder-decoder architecture that takes as input a source sentence and desired linguistic attri

Externí odkaz: http://arxiv.org/abs/2410.24199

Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm

Autor: Sharifi, Zaniar, Soltanian, Khabat, Amiri, Ali

Neural Architecture Search (NAS) methods autonomously discover high-accuracy neural network architectures, outperforming manually crafted ones. However, The NAS methods require high computational costs due to the high dimension search space and the n

Externí odkaz: http://arxiv.org/abs/2410.22487