Zobrazeno 1 - 10
of 48 822
pro vyhledávání: '"Pradeep, P."'
Autor:
Lambert, Nathan, Morrison, Jacob, Pyatkin, Valentina, Huang, Shengyi, Ivison, Hamish, Brahman, Faeze, Miranda, Lester James V., Liu, Alisa, Dziri, Nouha, Lyu, Shane, Gu, Yuling, Malik, Saumya, Graf, Victoria, Hwang, Jena D., Yang, Jiangjiang, Bras, Ronan Le, Tafjord, Oyvind, Wilhelm, Chris, Soldaini, Luca, Smith, Noah A., Wang, Yizhong, Dasigi, Pradeep, Hajishirzi, Hannaneh
Language model post-training is applied to refine behaviors and unlock new skills across a wide range of recent language models, but open recipes for applying these techniques lag behind proprietary ones. The underlying training data and recipes for
Externí odkaz:
http://arxiv.org/abs/2411.15124
Trilayer nickelates are a rich class of materials exhibiting diverse correlated phenomena, including superconductivity, density wave transitions, non-Fermi liquid behavior along with an unusual metal-to-metal transition around T* ~ 150 K. Understandi
Externí odkaz:
http://arxiv.org/abs/2411.13933
Calculation of the coherent nonlinear response of a system is essential to correctly interpret results from advanced techniques such as two-dimensional coherent spectroscopy (2DCS). Usually, even for the simplest systems, such calculations are either
Externí odkaz:
http://arxiv.org/abs/2411.13290
Autor:
Pradeep, Ronak, Thakur, Nandan, Upadhyay, Shivani, Campos, Daniel, Craswell, Nick, Lin, Jimmy
This report provides an initial look at partial results from the TREC 2024 Retrieval-Augmented Generation (RAG) Track. We have identified RAG evaluation as a barrier to continued progress in information access (and more broadly, natural language proc
Externí odkaz:
http://arxiv.org/abs/2411.09607
Autor:
Upadhyay, Shivani, Pradeep, Ronak, Thakur, Nandan, Campos, Daniel, Craswell, Nick, Soboroff, Ian, Dang, Hoa Trang, Lin, Jimmy
The application of large language models to provide relevance assessments presents exciting opportunities to advance information retrieval, natural language processing, and beyond, but to date many unknowns remain. This paper reports on the results o
Externí odkaz:
http://arxiv.org/abs/2411.08275
Arch filament systems (AFSs) are chromospheric and coronal manifestations of emerging magnetic flux. Using high spatial resolution observations taken at a high cadence by the Extreme Ultraviolet Imager (EUI) on board Solar Orbiter, we identified smal
Externí odkaz:
http://arxiv.org/abs/2411.07876
Social media has become an integral part of modern life, but it has also brought with it the pervasive issue of cyberbullying a serious menace in today's digital age. Cyberbullying, a form of harassment that occurs on social networks, has escalated a
Externí odkaz:
http://arxiv.org/abs/2411.05958
Recent advances have demonstrated that large language models (LLMs) excel as listwise rerankers, but their high computational demands remain a barrier to widespread adoption. Further, the traditional language modeling (LM) objective is not ideally su
Externí odkaz:
http://arxiv.org/abs/2411.05508
Autor:
Pakkiam, Prasanna, Kumar, N. Pradeep, Chiu, Chun-Ching, Sommers, David, Pletyukhov, Mikhail, Fedorov, Arkady
We experimentally realise the theoretical proposal for in-situ tunable photonic edge states emerging from qubits coupled to a waveguide with a photonic bandgap. These edge states are directional, exhibiting theoretically zero population in the opposi
Externí odkaz:
http://arxiv.org/abs/2411.05271
Publikováno v:
Frontiers in Artificial Intelligence and Applications, vol. 392, ECAI 2024, pp. 2919-2926
Multi-objective reinforcement learning (MORL) is used to solve problems involving multiple objectives. An MORL agent must make decisions based on the diverse signals provided by distinct reward functions. Training an MORL agent yields a set of soluti
Externí odkaz:
http://arxiv.org/abs/2411.04784