A Practical Introduction to Benchmarking and Characterization of Quantum Computers

Posted by dbos Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Long B. Nguyen, Noah Goss, Brian Marinelli, Ravi K. Naik | Summary: Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful […]


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RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Jinhu Qi, Shuai Yan, Yibo Zhang, Wentao Zhang, Rong Jin | Summary: With the development of the modern social economy, tourism has become an important way to meet people’s spiritual needs, bringing development opportunities to the tourism industry. However, existing large language models (LLMs) face challenges in […]


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Contemporaneous X-ray Observations of 30 Bright Radio Bursts from the Prolific Fast Radio Burst Source FRB 20220912A

Posted by dbos MIT

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Amanda M. Cook, Paul Scholz, Aaron B. Pearlman, Thomas C. Abbott, Marilyn Cruces | Summary: We present an extensive contemporaneous X-ray and radio campaign performed on the repeating fast radio burst (FRB) source FRB 20220912A for eight weeks immediately following the source’s detection by CHIME/FRB. This […]


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Testing Gravity with Realistic Gravitational Waveforms in Pulsar Timing Arrays

Posted by dbos Chicago

Kavli Affiliate: Wayne Hu | First 5 Authors: Wayne Hu, Qiuyue Liang, Meng-Xiang Lin, Mark Trodden, | Summary: We consider the effects of relaxing the assumption that gravitational waves composing the stochastic gravitational wave background (SGWB) are uncorrelated between frequencies in analyses of the data from Pulsar Timing Arrays (PTAs). While individual monochromatic plane waves […]


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Spatial and morphological organization of mitochondria across a connectome

Posted by dbos Yale

Kavli Affiliate: Damon Clark | Authors: Garrett Sager, Fabian Cole Pallasdies, Robert Gowers, Snusha Ravikumar, Elizabeth Wu, Daniel Colon-Ramos, Susanne Schreiber and Damon A Clark | Summary: Summary: Neuronal function depends critically on the cell biological organization of mitochondria, which regulate calcium signals and produce energy, among other roles. However, little is known about how […]


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VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Shangkun Sun, Xiaoyu Liang, Songlin Fan, Wenxu Gao, Wei Gao | Summary: Text-driven video editing has recently experienced rapid development. Despite this, evaluating edited videos remains a considerable challenge. Current metrics tend to fail to align with human perceptions, and effective quantitative metrics for video editing are […]


Continue.. VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

E-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Shangkun Sun, Xiaoyu Liang, Songlin Fan, Wenxu Gao, Wei Gao | Summary: Text-driven video editing has recently experienced rapid development. Despite this, evaluating edited videos remains a considerable challenge. Current metrics tend to fail to align with human perceptions, and effective quantitative metrics for video editing are […]


Continue.. E-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Cheng Xu, Changtian Zhang, Yuchen Shi, Ran Wang, Shihong Duan | Summary: Recent advancements in reinforcement learning have made significant impacts across various domains, yet they often struggle in complex multi-agent environments due to issues like algorithm instability, low sampling efficiency, and the challenges of exploration and […]


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Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Cheng Xu, Changtian Zhang, Yuchen Shi, Ran Wang, Shihong Duan | Summary: Recent advancements in reinforcement learning have made significant impacts across various domains, yet they often struggle in complex multi-agent environments due to issues like algorithm instability, low sampling efficiency, and the challenges of exploration and […]


Continue.. Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration