Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Run He, Jiao Chen, Di Fang, Ming Li | Summary: Class-incremental learning (CIL) enables models to learn new classes continually without forgetting previously acquired knowledge. Multi-label CIL (MLCIL) extends CIL to a real-world scenario where each sample may belong to multiple classes, introducing several challenges: […]
Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Guy Ohad, María Camarasa-Gómez, Jeffrey B. Neaton, Ashwin Ramasubramaniam, Tim Gould | Summary: Optimal tuning of functional parameters in density functional theory approximations, based on enforcing the ionization potential theorem, has emerged as the method of choice for the non-empirical prediction of the electronic structure of […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yiding Sun, Jiaxin Mao, Wei Xue, Danqing Xu | Summary: Large language models (LLMs) have demonstrated remarkable capabilities across various professional domains, with their performance typically evaluated through standardized benchmarks. However, the development of financial RAG benchmarks has been constrained by data confidentiality issues and […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang | Summary: Graph retrieval-augmented generation (GRAG) places high demands on graph-specific retrievers. However, existing retrievers often rely on language models pretrained on plain text, limiting their effectiveness due to domain misalignment and structure ignorance. To address these […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Seokjin Moon, David T. Limmer, , , | Summary: We study diffusion-controlled processes in nonequilibrium steady states, where standard rate theory assumptions break down. Using transition path theory, we generalize the relations between reactive probability fluxes and measures of the rate of the reaction. Stochastic thermodynamics […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Seokjin Moon, David T. Limmer, , , | Summary: We study diffusion-controlled processes in nonequilibrium steady states, where standard rate theory assumptions break down. Using transition path theory, we generalize the relations between reactive probability fluxes and measures of the rate of the reaction. Stochastic thermodynamics […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: D. Dominic Briseño-Colunga, Bibek Bhandari, Debmalya Das, Long B. Nguyen, Yosep Kim | Summary: Modern superconducting and semiconducting quantum hardware use external charge and microwave flux drives to both tune and operate devices. However, each external drive is susceptible to low-frequency (e.g., $1/f$) noise that can drastically […]
Kavli Affiliate: Irfan Siddiqi | First 5 Authors: D. Dominic Briseño-Colunga, Bibek Bhandari, Debmalya Das, Long B. Nguyen, Yosep Kim | Summary: Modern superconducting and semiconducting quantum hardware use external charge and microwave flux drives to both tune and operate devices. However, each external drive is susceptible to low-frequency (e.g., $1/f$) noise that can drastically […]
Kavli Affiliate: Ting Xu | First 5 Authors: Ting Xu, Zhichao Huang, Jiankai Sun, Shanbo Cheng, Wai Lam | Summary: We present Sequential Policy Optimization for Simultaneous Machine Translation (SeqPO-SiMT), a new policy optimization framework that defines the simultaneous machine translation (SiMT) task as a sequential decision making problem, incorporating a tailored reward to enhance […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou | Summary: De novo peptide sequencing is a critical task in proteomics. However, the performance of current deep learning-based methods is limited by the inherent complexity of mass spectrometry data and the heterogeneous distribution of noise signals, […]