Computational Protein Science in the Era of Large Language Models (LLMs)

Kavli Affiliate: Yi Zhou | First 5 Authors: Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu | Summary: Considering the significance of proteins, computational protein science has always been a critical scientific field, dedicated to revealing knowledge and developing applications within the protein sequence-structure-function paradigm. In the last few decades, Artificial Intelligence (AI) […]


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PaSa: An LLM Agent for Comprehensive Academic Paper Search

Kavli Affiliate: Feng Yuan | First 5 Authors: Yichen He, Guanhua Huang, Peiyuan Feng, Yuan Lin, Yuchen Zhang | Summary: We introduce PaSa, an advanced Paper Search agent powered by large language models. PaSa can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive […]


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Experimental realization of the ground state for the antiferromagnetic Ising model on a triangular lattice

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Xing-Jian Liu, Li-Ming Tu, Jia-Jie Zhang, Vladimir N. Gladilin | Summary: The antiferromagnetic Ising model on a triangular lattice (AFIT) exemplifies the most classical frustration system, arising from its triangular geometry that prevents all interactions from being simultaneously satisfied. Understanding geometric frustration in AFIT is […]


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IE-Bench: Advancing the Measurement of Text-Driven Image Editing for Human Perception Alignment

Kavli Affiliate: Wei Gao | First 5 Authors: Shangkun Sun, Bowen Qu, Xiaoyu Liang, Songlin Fan, Wei Gao | Summary: Recent advances in text-driven image editing have been significant, yet the task of accurately evaluating these edited images continues to pose a considerable challenge. Different from the assessment of text-driven image generation, text-driven image editing […]


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Low-Loss Superconducting Resonators Fabricated from Tantalum Films Grown at Room Temperature

Kavli Affiliate: Oskar Painter | First 5 Authors: Guillaume Marcaud, David Perello, Cliff Chen, Esha Umbarkar, Conan Weiland | Summary: The use of $alpha$-tantalum in superconducting circuits has enabled a considerable improvement of the coherence time of transmon qubits. The standard approach to grow $alpha$-tantalum thin films on silicon involves heating the substrate, which takes […]


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