Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling

Kavli Affiliate: Jing Wang | First 5 Authors: Minghui Li, Minghui Li, , , | Summary: Direct Prompt Injection (DPI) attacks pose a critical security threat to Large Language Models (LLMs) due to their low barrier of execution and high potential damage. To address the impracticality of existing white-box/gray-box methods and the poor transferability of […]


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Astra: A Multi-Agent System for GPU Kernel Performance Optimization

Kavli Affiliate: Ke Wang | First 5 Authors: Anjiang Wei, Anjiang Wei, , , | Summary: GPU kernel optimization has long been a central challenge at the intersection of high-performance computing and machine learning. Efficient kernels are crucial for accelerating large language model (LLM) training and serving, yet attaining high performance typically requires extensive manual […]


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Ringdown mode amplitudes of charged binary black holes

Kavli Affiliate: Lijing Shao | First 5 Authors: Zexin Hu, Zexin Hu, , , | Summary: The ringdown phase of the binary black hole (BBH) merger provides a clean and direct probe of strong-field gravity and tests of the nature of black holes. The quasinormal mode (QNM) frequencies in modified gravity theories, as well as […]


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VQualA 2025 Challenge on Image Super-Resolution Generated Content Quality Assessment: Methods and Results

Kavli Affiliate: Li Xin Li | First 5 Authors: Yixiao Li, Yixiao Li, , , | Summary: This paper presents the ISRGC-Q Challenge, built upon the Image Super-Resolution Generated Content Quality Assessment (ISRGen-QA) dataset, and organized as part of the Visual Quality Assessment (VQualA) Competition at the ICCV 2025 Workshops. Unlike existing Super-Resolution Image Quality […]


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LM-Searcher: Cross-domain Neural Architecture Search with LLMs via Unified Numerical Encoding

Kavli Affiliate: Ke Wang | First 5 Authors: Yuxuan Hu, Yuxuan Hu, , , | Summary: Recent progress in Large Language Models (LLMs) has opened new avenues for solving complex optimization problems, including Neural Architecture Search (NAS). However, existing LLM-driven NAS approaches rely heavily on prompt engineering and domain-specific tuning, limiting their practicality and scalability […]


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Interaction-driven quantum criticality in two-dimensional quadratic band crossing semimetals with time-reversal symmetry breaking

Kavli Affiliate: Jing Wang | First 5 Authors: Yi-Kun Fang, Yi-Kun Fang, , , | Summary: We present a systematic investigation of all sixteen marginally relevant fermion-fermion interactions in two-dimensional time-reversal symmetry-breaking kagom’e semimetals hosting a quadratic band crossing point. Employing a momentum-shell renormalization group approach that treats every interaction on equal footing, we derive […]


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“Industrial-Scale” Black Hole Selection without a Satellite

Kavli Affiliate: Subo Dong | First 5 Authors: Zexuan Wu, Zexuan Wu, , , | Summary: The forthcoming GRAVITY+ instrument promises to usher in an era of "industrial-scale" mass measurements of isolated black holes (BHs), with the potential to assemble a sample of many tens of BHs via interferometric microlensing over several years. A key […]


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PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting

Kavli Affiliate: Li Xin Li | First 5 Authors: Linqing Wang, Linqing Wang, , , | Summary: Recent advancements in text-to-image (T2I) diffusion models have demonstrated remarkable capabilities in generating high-fidelity images. However, these models often struggle to faithfully render complex user prompts, particularly in aspects like attribute binding, negation, and compositional relationships. This leads […]


Continue.. PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting

PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting

Kavli Affiliate: Li Xin Li | First 5 Authors: Linqing Wang, Linqing Wang, , , | Summary: Recent advancements in text-to-image (T2I) diffusion models have demonstrated remarkable capabilities in generating high-fidelity images. However, these models often struggle to faithfully render complex user prompts, particularly in aspects like attribute binding, negation, and compositional relationships. This leads […]


Continue.. PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting

Integrated photonic ultrawideband real-time spectrum sensing for 6G wireless networks

Kavli Affiliate: Feng Yuan | First 5 Authors: Yuansheng Tao, Yuansheng Tao, , , | Summary: The sixth generation (6G) wireless networks require dynamic spectrum management to optimize the utilization of scarce spectral resources and support emerging integrated sensing and communication (ISAC) applications. This necessitates real-time spectrum sensing (RT-SS) capability with ultrawide measurement range, compact […]


Continue.. Integrated photonic ultrawideband real-time spectrum sensing for 6G wireless networks