Health
1086 storiesPublic health and medicine worldwide — sourced from WHO News.
HeadWiseKV: Budgeted Per-Head Cache Residency for Hybrid Long-Context Language Models
arXiv:2609.02029v1 Announce Type: new Abstract: Long-context inference retains a growing key--value (KV) cache during decoding, which consumes substantial GPU memory and can reduce generation throughput. This bottleneck …
The Complexity of Justified Representation with Additive Utilities
arXiv:2609.02030v1 Announce Type: new Abstract: We study the computational complexity of satisfying proportional representation -- in particular proportional, extended, and fully justified representation (PJR, EJR, and F…
Implicit Manipulation for Skill Selection in LLM Agents with Semantic Matching
arXiv:2609.02035v1 Announce Type: new Abstract: Skill selection is a key stage in LLM-agent workflows, determining which installed skill should handle a user request. Existing attacks on this stage primarily rely on expl…
SelfLift: Accelerating Few-Step Diffusion via Self-Recovering Resolution Transition
arXiv:2609.02036v1 Announce Type: new Abstract: Few-step diffusion models substantially compress temporal computation, making the spatial cost of each model evaluation an increasingly dominant source of inference latency…
Test-Time Logit Prompting for Source-Free Missing Modality Adaptation
arXiv:2609.02039v1 Announce Type: new Abstract: Vision-language models (VLMs) have achieved remarkable performance by leveraging complementary information from large-scale image-text pairs. However, missing-modality inpu…
Act More, Decide Less: Skill-Guided Adaptive Action Chunking for Long-Horizon LLM Agents
arXiv:2609.02042v1 Announce Type: new Abstract: Large language model (LLM) agents for long-horizon interactive tasks typically follow a ReAct-style protocol, issuing one primitive action per LLM round. While this enables…
Modeling What Changes: Sparse, Residual World Models for Object-Centric Manipulation
arXiv:2609.02046v1 Announce Type: new Abstract: Monolithic world models predict the entire next state at every step, spending capacity re-predicting the static majority of a scene and injecting error into it. We ask whet…
Type-Directed, Secure-by-Construction Enclave Partitioning for LLVM
arXiv:2609.02048v1 Announce Type: new Abstract: Trusted Execution Environments (TEEs) provide hardware-supported isolation through enclaves that protect code and data independently of software abstractions. However, TEEs…
The Dynamics of Continuous Mixture Collapse in Language Models
arXiv:2609.02049v1 Announce Type: new Abstract: LLMs latent-state reasoning methods replace discrete intermediate tokens with continuous states, such as weighted mixtures of token embeddings, to retain multiple possible …
SchedBlame: Who Ran While You Waited? Culprit-Attributed CPU Contention for Containers on Stock Kernels
arXiv:2609.02052v1 Announce Type: new Abstract: Containers that share a machine compete for CPU. When one slows down, the operator needs to know which co-tenant is responsible, and no deployed signal can say. Pressure st…
A Tri-Agent Framework for Evaluating and Aligning Question Clarification Capabilities of Large Language Models
arXiv:2609.02054v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed in interactive systems where understanding user intent precisely is paramount. A key capability for such systems is e…
Privacy Washing: Detecting Internal Contradictions in Privacy Policies
arXiv:2609.02055v1 Announce Type: new Abstract: Privacy policies may contain internal contradictions in which commitments are undermined by practices documented elsewhere in the same policy. We operationalize this phenom…
HyGRAIL: Cost-Aware and Evidence-Grounded Scientific Hypothesis Discovery over Knowledge Graphs
arXiv:2609.02056v1 Announce Type: new Abstract: Scientific knowledge graphs organize entities and relations extracted from scientific literature, but they remain inherently incomplete. Missing typed links in such graphs …
Monitoring Web Agents Without Internal Signals: Observable Trajectories and Key-Step Supervision
arXiv:2609.02057v1 Announce Type: new Abstract: Reliable web-agent monitoring is difficult when model-internal uncertainty signals such as token logits are unavailable. In this work, we study prefix-level risk prediction…
DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents
arXiv:2609.02059v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have achieved strong performance on structured visual understanding tasks such as chart and document question answering. However, e…
MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity
arXiv:2609.02060v1 Announce Type: new Abstract: Mineral exploration requires integrating heterogeneous geochemical, geophysical, and geological evidence, yet existing prospectivity systems often provide only opaque score…
SPAR: Enhancing Industrial-Scale Generative POI Recommendation via Real-World Spatial Perception
arXiv:2609.02062v1 Announce Type: new Abstract: Generative Point-of-Interest (POI) recommendation, autoregressively generating a target POI's semantic ID (SID), holds great promise for Location-Based Services, where a re…
LaST-SR: Laplace-Inspired Steady-Transient Complex-Frequency Decomposition for Single Image Super-Resolution
arXiv:2609.02063v1 Announce Type: new Abstract: Single-image super-resolution (SISR) requires global context modeling for structurally consistent reconstruction. Fourier operators are increasingly adopted for global feat…
ToolGate: An Executable Acceptance Pipeline for Tool-Dependent Scientific Benchmark Construction
arXiv:2609.02067v1 Announce Type: new Abstract: Scientific benchmarks are commonly built by domain experts who write tasks and cross-check one another's work, or who adapt existing material from textbooks, published pape…
DynG-Diff: A State-Aware Dynamic Guidance Diffusion Framework for Probabilistic Time Series Forecasting
arXiv:2609.02068v1 Announce Type: new Abstract: Probabilistic multivariate time series (MTS) forecasting is crucial for modeling complex dynamical systems. However, existing diffusion-based methods rely on task-specific …