A cross-modal alignment attack achieves AUC 0.821 for single-sample black-box membership inference on VLMs such as LLaVA-1.5 by quantifying image-generated caption similarity.
Yi: Open foundation models by 01.ai
7 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 7representative citing papers
The paper defines five AI system categories for public administration and reports that 55% of 91 recent papers leave the system type underspecified while 31% study one type but motivate with another.
A new tabular abstraction for pipeline schedules shows communication can reverse rankings from bubble analysis alone, with GPipe and 1F1B runtime-equivalent but 1F1B lower in activation memory.
Learned Task Vectors trained directly outperform extracted task vectors for in-context learning with added mechanistic insights into linear propagation and key attention circuits.
A new framework using Task Subspace Logit Attribution localizes attention heads specialized for task recognition and task learning in in-context learning, showing they align and rotate hidden states within a task subspace.
Fine-tuned MedGemma outperforms untuned GPT-4 in zero-shot medical image disease classification, achieving 80.37% versus 69.58% mean test accuracy with higher sensitivity for cancer and pneumonia.
Review of AI applications in power-converter-rich systems across design, control, operations, and governance, highlighting deployment gaps.
citing papers explorer
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Single-Sample Black-Box Membership Inference Attack against Vision-Language Models via Cross-modal Semantic Alignment
A cross-modal alignment attack achieves AUC 0.821 for single-sample black-box membership inference on VLMs such as LLaVA-1.5 by quantifying image-generated caption similarity.
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A Technical Typology of AI Systems in Public Administration
The paper defines five AI system categories for public administration and reports that 55% of 91 recent papers leave the system type underspecified while 31% study one type but motivate with another.
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A Tabular Schedule Abstraction for Communication-Aware Evaluation of Pipeline-Parallel LLM Training
A new tabular abstraction for pipeline schedules shows communication can reverse rankings from bubble analysis alone, with GPipe and 1F1B runtime-equivalent but 1F1B lower in activation memory.
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Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insight
Learned Task Vectors trained directly outperform extracted task vectors for in-context learning with added mechanistic insights into linear propagation and key attention circuits.
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Localizing Task Recognition and Task Learning in In-Context Learning via Attention Head Analysis
A new framework using Task Subspace Logit Attribution localizes attention heads specialized for task recognition and task learning in in-context learning, showing they align and rotate hidden states within a task subspace.
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MedGemma vs GPT-4: Open-Source and Proprietary Zero-shot Medical Disease Classification from Images
Fine-tuned MedGemma outperforms untuned GPT-4 in zero-shot medical image disease classification, achieving 80.37% versus 69.58% mean test accuracy with higher sensitivity for cancer and pneumonia.
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Artificial Intelligence for Power-Converter-Rich Electrical Systems: A Review
Review of AI applications in power-converter-rich systems across design, control, operations, and governance, highlighting deployment gaps.