The reliability of hybrid functionals for accurate fundamental and optical gap prediction of bulk solids and surfaces

Posted by dbos Berkeley

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Francisca Sagredo, María Camarasa-Gómez, Francesco Ricci, Aurélie Champagne, Leeor Kronik | Summary: Hybrid functionals have been considered insufficiently reliable for the prediction of band gaps in solids and surfaces. We revisit this issue with a new generation of optimally-tuned range-separated hybrid functionals, focusing on the reconstructed […]


Continue.. The reliability of hybrid functionals for accurate fundamental and optical gap prediction of bulk solids and surfaces

The reliability of hybrid functionals for accurate fundamental and optical gap prediction of bulk solids and surfaces

Posted by dbos Berkeley

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Francisca Sagredo, María Camarasa-Gómez, Francesco Ricci, Aurélie Champagne, Leeor Kronik | Summary: Hybrid functionals have been considered insufficiently reliable for the prediction of band gaps in solids and surfaces. We revisit this issue with a new generation of optimally-tuned range-separated hybrid functionals, focusing on the reconstructed […]


Continue.. The reliability of hybrid functionals for accurate fundamental and optical gap prediction of bulk solids and surfaces

Benchmarking of quantum and classical SDP relaxations for QUBO formulations of real-world logistics problems

Posted by dbos UCSB

Kavli Affiliate: David Gross | First 5 Authors: Birte Ostermann, Taylor Garnowski, Fabian Henze, Vaibhavnath Jha, Asra Dia | Summary: Quadratic unconstrained binary optimization problems (QUBOs) are intensively discussed in the realm of quantum computing and polynomial optimization. We provide a vast experimental study of semidefinite programming (SDP) relaxations of QUBOs using sums of squares […]


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A Hierarchical Shock Model of Ultra-High-Energy Cosmic Rays

Posted by dbos Stanford

Kavli Affiliate: Roger Blandford | First 5 Authors: Paul Simeon, Noémie Globus, Kirk S. S. Barrow, Roger Blandford, | Summary: We propose that a hierarchical shock model$unicode{x2014}$including supernova remnant shocks, galactic wind termination shocks, and accretion shocks around cosmic filaments and galaxy clusters$unicode{x2014}$can naturally explain the cosmic ray spectrum from ~1 GeV up to ~200 […]


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Cosmic Reionization on Computers: Statistical Properties of the Distributions of Mean Opacities

Posted by dbos Chicago

Kavli Affiliate: Nickolay Y. Gnedin | First 5 Authors: Ella Werre, David Robinson, Camille Avestruz, Nickolay Y. Gnedin, | Summary: Quasar absorption lines provide a unique window to the relationship between galaxies and the intergalactic medium during the Epoch of Reionization. In particular, high redshift quasars enable measurements of the neutral hydrogen content of the […]


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MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation

Posted by dbos Peking

Kavli Affiliate: Li Xin Li | First 5 Authors: Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao | Summary: Existing large language model (LLM) evaluation benchmarks primarily focus on English, while current multilingual tasks lack parallel questions that specifically assess cross-linguistic reasoning abilities. This dual limitation makes it challenging to comprehensively assess LLMs’ […]


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MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation

Posted by dbos Peking

Kavli Affiliate: Li Xin Li | First 5 Authors: Weihao Xuan, Rui Yang, Heli Qi, Qingcheng Zeng, Yunze Xiao | Summary: Traditional benchmarks struggle to evaluate increasingly sophisticated language models in multilingual and culturally diverse contexts. To address this gap, we introduce MMLU-ProX, a comprehensive multilingual benchmark covering 13 typologically diverse languages with approximately 11,829 […]


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SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading

Posted by dbos Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Qiaoling Chen, Shenggui Li, Wei Gao, Peng Sun, Yonggang Wen | Summary: In recent years, Large Language Models (LLMs) have exhibited remarkable capabilities, driving advancements in real-world applications. However, training LLMs on increasingly long input sequences imposes significant challenges due to high GPU memory and computational demands. […]


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Hybrid Agents for Image Restoration

Posted by dbos Peking

Kavli Affiliate: Li Xin Li | First 5 Authors: Bingchen Li, Xin Li, , , | Summary: Existing Image Restoration (IR) studies typically focus on task-specific or universal modes individually, relying on the mode selection of users and lacking the cooperation between multiple task-specific/universal restoration modes. This leads to insufficient interaction for unprofessional users and […]


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Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Juntai Cao, Jiaqi Wei, Chenyu You, Dujian Ding | Summary: Despite the remarkable successes of large language models (LLMs), the underlying Transformer architecture has inherent limitations in handling complex reasoning tasks. Chain-of-thought (CoT) prompting has emerged as a practical workaround, but most CoT-based methods rely […]


Continue.. Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs