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988 storiesPublic health and medicine worldwide — sourced from WHO News.
DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment
arXiv:2607.15081v1 Announce Type: new Abstract: Fine-tuning large language models (LLMs) on domain-specific datasets has become a standard paradigm for adapting LLMs to specialized applications. However, recent work has …
Towards Hierarchical Structure Understanding of Newspaper Images
arXiv:2607.15082v1 Announce Type: new Abstract: Understanding newspaper images remains a challenging task due to their complex, nested hierarchical structures and dense, heterogeneous layouts. In this paper, we explore t…
Quantifying Training Membership Information in the Hyperspherical Embedding Geometry of Face Recognition Models
arXiv:2607.15084v1 Announce Type: new Abstract: Face recognition models represent each face as an embedding vector on the unit hypersphere by clustering embeddings of the same identity while pushing different identities …
Residual-Based Time Discretization on Nonlinear Approximation Manifolds: Analysis and Gaussian Applications
arXiv:2607.15086v1 Announce Type: new Abstract: We study time-discrete parametric approximations of evolution equations in Hilbert spaces based on residual minimization. The solution is represented by a parametrized ansa…
Rubrics on Trial: Evolving Rubrics from a Single Query via Synthetic Pairwise Evidence
arXiv:2607.15092v1 Announce Type: new Abstract: Rubrics provide structured, fine-grained signals for training and evaluating large language models (LLMs). Yet reliable query-specific rubrics are difficult to construct. E…
AlphaWiSE: Adaptive Weight Interpolation for Continual Multimodal Representation Learning
arXiv:2607.15094v1 Announce Type: new Abstract: Multimodal models such as CLIP learn a shared embedding space for cross-modal retrieval, but continual adaptation to sequentially arriving data can disrupt the cross-modal …
Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents
arXiv:2607.15095v1 Announce Type: new Abstract: The formation of political coalitions is a complex negotiation driven by both concrete policy objectives and deep-seated ideological convictions. While Large Language Model…
QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration
arXiv:2607.15097v1 Announce Type: new Abstract: All-in-one image restoration aims to recover clean images degraded by multiple corruption types using a single unified model. Existing methods typically rely on image-level…
Capturing and Exploiting Design Pattern Variability in Mobile Application Generation
arXiv:2607.15099v1 Announce Type: new Abstract: The increasing reliance on automatic code generation in mobile application development often leads to code that neglects fundamental design principles and architectural qua…
Long-Context Fine-Tuning with Limited VRAM
arXiv:2607.15105v1 Announce Type: new Abstract: Parameter-efficient fine-tuning reduces model and optimizer memory, but dense attention still makes long training sequences expensive. We combine Hierarchical Global Attent…
Learning in Infinitesimal Non-Compositional Sketches
arXiv:2607.15107v1 Announce Type: new Abstract: This paper develops a categorical framework -- Learning in Infinitesimal Non-Compositional Sketches (LINCS) -- as the repair of non-compositionality: failures of diagrams t…
Goal-Oriented Semantic Communication for Distributed ISAC-Enabled Vehicle Coordination
arXiv:2607.15111v1 Announce Type: new Abstract: Vehicle coordination at unsignalized intersections relies on accurate real-time vehicle state acquisition and reliable command-and-control (C&C) signal delivery. However, e…
A lower bound of 4 for online graph exploration
arXiv:2607.15113v1 Announce Type: new Abstract: In the online graph exploration problem, a single agent needs to visit every vertex of an initially unknown graph, which is learned over time in an online fashion, and retu…
CoSimRec: Measuring Coordinated-Content Penetration in Recommender Feedback Loops
arXiv:2607.15114v1 Announce Type: new Abstract: Recommender systems increasingly shape which content reaches users, making it important to understand whether coordinated activity is amplified beyond the accounts that ini…
Don't Predict, Prioritize: Rethinking GPU Reliability Assessment
arXiv:2607.15115v1 Announce Type: new Abstract: The reliability of Graphics Processing Units (GPUs) is a criticalbottleneck for modern large-scale AI infrastructure, where a sin-gle node failure can disrupt synchronous t…
A Model Predictive Control Framework for Assisted Vehicle Drifting
arXiv:2607.15117v1 Announce Type: new Abstract: Model Predictive Control (MPC) has been widely applied to autonomous vehicle drifting. Assisted drifting, that is where the driver remains in the loop, is still comparative…
Automated Template-free Synthesis of Instruction-Centric Leakage Contracts for Black-Box CPUs
arXiv:2607.15118v1 Announce Type: new Abstract: Side-channel attacks pose a significant security threat for modern computing platforms, because they exploit subtle discrepancies in CPU behaviors to leak sensitive informa…
NIFA: Nonlinear IMC enhanced FPGA for efficient ML inference
arXiv:2607.15123v1 Announce Type: new Abstract: Recent FPGAs have improved deep learning (DL) inference efficiency through dedicated tensor blocks and in-BRAM computation. ReRAM-based analog in-memory computing (IMC) pus…
DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification
arXiv:2607.15128v1 Announce Type: new Abstract: Hyperspectral image (HSI) classification requires reliable pixel-relation modeling under spectral variability, mixed pixels, and heterogeneous boundaries. Existing graph-ba…
Catch, Throw, Repeat: Planning for Human-Robot Partner Juggling
arXiv:2607.15129v1 Announce Type: new Abstract: Dynamic object exchange between humans and robots remains a challenging problem due to uncertainty in perception, timing, and contact-rich interaction. Human-robot juggling…