Zobrazeno 1 - 10
of 7 802
pro vyhledávání: '"A, Dalvi"'
Autor:
Pu, Kevin, Feng, K. J. Kevin, Grossman, Tovi, Hope, Tom, Mishra, Bhavana Dalvi, Latzke, Matt, Bragg, Jonathan, Chang, Joseph Chee, Siangliulue, Pao
Research ideation involves broad exploring and deep refining ideas. Both require deep engagement with literature. Existing tools focus primarily on idea broad generation, yet offer little support for iterative specification, refinement, and evaluatio
Externí odkaz:
http://arxiv.org/abs/2410.04025
Autor:
Mousi, Basel, Durrani, Nadir, Ahmad, Fatema, Hasan, Md. Arid, Hasanain, Maram, Kabbani, Tameem, Dalvi, Fahim, Chowdhury, Shammur Absar, Alam, Firoj
Arabic, with its rich diversity of dialects, remains significantly underrepresented in Large Language Models, particularly in dialectal variations. We address this gap by introducing seven synthetic datasets in dialects alongside Modern Standard Arab
Externí odkaz:
http://arxiv.org/abs/2409.11404
Pulse-level control of quantum systems is critical for enabling gate implementations, calibration procedures, and Hamiltonian evolution which fundamentally are not supported by the traditional circuit model. This level of control necessitates both ef
Externí odkaz:
http://arxiv.org/abs/2409.08407
Page Stream Segmentation (PSS) is an essential prerequisite for automated document processing at scale. However, research progress has been limited by the absence of realistic public benchmarks. This paper works towards addressing this gap by introdu
Externí odkaz:
http://arxiv.org/abs/2408.11981
Autor:
Wang, Qingfeng, Zhukas, Liudmila, Miao, Qiang, Dalvi, Aniket S., Love, Peter J., Monroe, Christopher, Chong, Frederic T., Ravi, Gokul Subramanian
To enhance the variational quantum eigensolver (VQE), the CAFQA method can utilize classical computational capabilities to identify a better initial state than the Hartree-Fock method. Previous research has demonstrated that the initial state provide
Externí odkaz:
http://arxiv.org/abs/2408.06482
Autor:
Majumder, Bodhisattwa Prasad, Surana, Harshit, Agarwal, Dhruv, Mishra, Bhavana Dalvi, Meena, Abhijeetsingh, Prakhar, Aryan, Vora, Tirth, Khot, Tushar, Sabharwal, Ashish, Clark, Peter
Can the rapid advances in code generation, function calling, and data analysis using large language models (LLMs) help automate the search and verification of hypotheses purely from a set of provided datasets? To evaluate this question, we present Di
Externí odkaz:
http://arxiv.org/abs/2407.01725
This paper proposes a methodology to solve generation expansion equilibrium problems by using a predictive model to represent the equilibrium in a simplified network constrained electricity market. The investment problem for each generation company (
Externí odkaz:
http://arxiv.org/abs/2407.01715
Autor:
Jansen, Peter, Côté, Marc-Alexandre, Khot, Tushar, Bransom, Erin, Mishra, Bhavana Dalvi, Majumder, Bodhisattwa Prasad, Tafjord, Oyvind, Clark, Peter
Automated scientific discovery promises to accelerate progress across scientific domains. However, developing and evaluating an AI agent's capacity for end-to-end scientific reasoning is challenging as running real-world experiments is often prohibit
Externí odkaz:
http://arxiv.org/abs/2406.06769
Video anomaly detection aims to develop automated models capable of identifying abnormal events in surveillance videos. The benchmark setup for this task is extremely challenging due to: i) the limited size of the training sets, ii) weak supervision
Externí odkaz:
http://arxiv.org/abs/2406.02831
Despite their remarkable ability to capture linguistic nuances across diverse languages, questions persist regarding the degree of alignment between languages in multilingual embeddings. Drawing inspiration from research on high-dimensional represent
Externí odkaz:
http://arxiv.org/abs/2405.14535