Health
1241 storiesPublic health and medicine worldwide — sourced from WHO News.
How Far Can Root Cause Analysis Go on Real-World Telemetry Data?
arXiv:2607.13548v2 Announce Type: replace Abstract: Root cause analysis (RCA) of microservice failures requires reasoning over telemetry far larger than a model's context, so a language agent reasons over extracted evide…
No Edges, No Verdict: A Large-Scale Empirical Study of Declared Dependency Graphs in 78K SBOMs in the Wild
arXiv:2607.22140v3 Announce Type: replace Abstract: Software Bills of Materials (SBOMs) are consumed not only as component inventories but as dependency graphs: vulnerability triage, reachability filtering, and impact an…
The Fallacy of Sustainable Generative AI: Limitations in EU Environmental Regulation of Data Centres and Paths Forward
arXiv:2607.22604v2 Announce Type: replace Abstract: In the age of Artificial Intelligence (AI), Large Language Models, Generative AI and larger frontier AI models, data centres create a significant environmental burden o…
Network-Aware Progressive Replacement Sequence Planning for Laser-Enhanced BeiDou Navigation Constellations
arXiv:2607.25235v2 Announce Type: replace Abstract: The early satellites of the third-generation BeiDou Navigation Satellite System (BDS-3) are approaching the end of their design lifetime, making progressive constellati…
Eddeep: a deep-learning framework for fast eddy-current distortion correction in diffusion MRI
arXiv:2607.26292v2 Announce Type: replace Abstract: Diffusion MRI (dMRI) relies on diffusion-weighted echo-planar imaging, which is highly susceptible to eddy-current-induced geometric distortions. These distortions vary…
WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models
arXiv:2607.26621v4 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated strong reasoning capabilities, motivating their adoption as backbones for foundation recommendation models (FRMs). Existi…
ARES: Adaptive Reasoning-Effort Steering for PPA- and Cost-Aware RTL Optimization with LLM Agents
arXiv:2607.27879v2 Announce Type: replace Abstract: Large language model (LLM) agents optimize the power, performance, and area (PPA) of register-transfer-level (RTL) designs by iterating over edits, synthesis, and PPA a…
TORUS: A Unified Closed-Loop Benchmark for Unified Audio Models
arXiv:2607.28896v2 Announce Type: replace Abstract: Unified audio models capable of audio understanding, audio generation and, increasingly, audio editing are proliferating rapidly. However, each capability is evaluated …
AuditCoder: Process-Auditable Code Generation through Responsibility-Preserving Task Graphs
arXiv:2607.29529v2 Announce Type: replace Abstract: Plans can guide code generation without record?ing which code implements each subproblem, leaving reviewers to reconstruct these links dur?ing handoff and maintenance. …
DGA$_2$D: Directed Graph-Guided Automated Algorithm Design with Large Language Models
arXiv:2608.00700v2 Announce Type: replace Abstract: The rapid development of Large Language Models (LLMs) has opened new avenues for Automated Heuristic Design (AHD) for solving NP-hard combinatorial optimization problem…
Principles of Robot Autonomy
arXiv:2608.03496v2 Announce Type: replace Abstract: Autonomous robots are moving rapidly from research labs into everyday life - on roads, in the air, in warehouses, and in space. Robot autonomy is no longer solely an ac…
Physically Constrained Agentic AI for Energy Scheduling
arXiv:2608.09029v2 Announce Type: replace Abstract: Agentic AI extends energy management beyond fixed-form interaction by translating natural-language requests into coordinated scheduling actions. We present a hierarchic…
Beyond Naturalness: Probing Automated Text-To-Speech Evaluators on Linguistically Grounded Dimensions
arXiv:2608.09930v2 Announce Type: replace Abstract: Automated Text-to-Speech (TTS) evaluation methods (Mean Opinion Score (MOS) predictors and Audio Large Language Model (Audio-LLM) judges) are expected to reflect human …
Learning Cooperative Bimanual Dexterous Grasp of Large Objects with Tactile Sensing
arXiv:2608.10383v3 Announce Type: replace Abstract: Bimanual dexterous grasping of large objects is a critical challenge in robotic manipulation. However, most existing studies focus on sequential manipulation rather tha…
Evaluating Rational Contracting in Natural Language
arXiv:2608.10475v2 Announce Type: replace Abstract: The emergence of language-based AI agents promises to transform the scope of machine economic activity. Instead of just proposing bids or following hard-coded protocols…
From Faulty Memories to Corrected Actions: Dependency-Guided Rollback Repair for Memory-Augmented Agents
arXiv:2608.10502v2 Announce Type: replace Abstract: Persistent memory lets language model agents reuse information across sessions, but it also makes errors durable: a poisoned, stale, or misattributed record can alter r…
What Does It Take For A Generalist Robot Policy To Adapt Using Minimal Data?
arXiv:2608.11363v3 Announce Type: replace Abstract: A central goal in robot learning is to move beyond task-specific human data collection toward robots that improve through autonomous interaction. Yet fully autonomous l…
When Self-Consistency Backfires: Majority Vote Hurts the Majority of Hard Science Problems for Small LLMs
arXiv:2608.11403v3 Announce Type: replace Abstract: Majority-vote self-consistency (SC) lowers per-problem accuracy on most GPQA Diamond problems for small instruction-tuned models: on 56.6% of problems for Qwen2.5-7B an…
Integrated Sensing and Communication in 3GPP: Evolution from 5G-Advanced to 6G
arXiv:2608.11606v2 Announce Type: replace Abstract: Integrated sensing and communication (ISAC) extends mobile networks from information transfer toward perception of passive objects and environments. By exploiting propa…
Rubric Dropout: A Simple Way to Mitigate Reward Hacking in Rubric-Based RL
arXiv:2608.11669v4 Announce Type: replace Abstract: Rubric-based reinforcement learning, in which an LLM judge scores responses against prompt-specific criteria, has become a standard way to post-train language models on…