Health
1301 storiesPublic health and medicine worldwide — sourced from WHO News.
Mitigating Reward Hacking in Realistic Scenarios Through Representation Engineering
arXiv:2610.29129v1 Announce Type: new Abstract: Reward hacking is a major problem in current production machine learning systems, resulting in costly and dangerous failures. Here we study how to monitor for and mitigate …
NormTune: Norm-Guided Parameter-Efficient Fine-Tuning for Reasoning-Intensive Tasks
arXiv:2610.29134v1 Announce Type: new Abstract: Full fine-tuning has achieved remarkable success on reasoning-intensive tasks, but it often requires substantial GPU resource consumption. Parameter-efficient fine-tuning (…
LaVGuard: Selective Decoding for Contextual Value Drift
arXiv:2610.29135v1 Announce Type: new Abstract: A content-safe response can still promote priorities that conflict with its task: an assistant may demand compliance when asked to preserve autonomy. We study contextual va…
GRAFT: Restoring the Missing Sampling Interface in Continuous Diffusion Language Models
arXiv:2610.29136v1 Announce Type: new Abstract: Continuous diffusion language models generate a whole sequence in parallel, never drawing a single word at any intermediate step; only the final step turns embeddings into …
Progressive Learning from Content to Relevance to Personalization for CTR Prediction
arXiv:2610.29138v1 Announce Type: new Abstract: Multimodal click-through rate (CTR) prediction is central to search systems, where ranking depends on item content, query relevance, and user preference. Existing approache…
Steering Black-Box Large Language Model Agents with Pitfall Anticipation World Model
arXiv:2610.29139v1 Announce Type: new Abstract: Frontier black-box Large Language Model (LLM) agents are proficient at long-horizon reasoning and precise action generation. However, when it comes to a specific agentic ta…
From AI-Free Gates to AI-First Work: How Engineering Students in India Navigate University Education and Campus Placements Without AI Guidelines
arXiv:2610.29140v1 Announce Type: new Abstract: Engineering graduates in India enter a technology sector that is being reshaped by generative AI, yet the route into that sector runs through examinations and campus placem…
DGCM-SSFA: Dual-Granularity Cross-Modulation and Sparse Strip Frequency Attention for Efficient 3T-to-7T MRI Synthesis
arXiv:2610.29141v1 Announce Type: new Abstract: Synthesizing high-fidelity 7T MRI from routinely acquired 3T scans offers a practical pathway to enhanced neuroimaging without the prohibitive cost of ultra-high-field scan…
State-Dependent Objective Coordination for End-to-End Balance and Navigation
arXiv:2610.29142v1 Announce Type: new Abstract: Traditional robotic navigation systems separate mapping, planning, and low-level control through cascaded modules, introducing computational overhead and accumulated latenc…
VeeReview: Measuring Build-Verify Pairs in Agent-Authored Pull Requests from a V-Model Perspective
arXiv:2610.29143v1 Announce Type: new Abstract: Context: Reviewing a pull request requires verification evidence that addresses the proposed change. Coding agent benchmarks and studies of pull request outcomes do not dir…
From Linear Exact Repair to Mixed-Alphabet Codes: The Bandwidth-Subpacketization Tradeoff of MDS Array Codes
arXiv:2610.29144v1 Announce Type: new Abstract: MDS array codes achieve optimal storage efficiency in distributed storage systems, but their repair bandwidth depends critically on the sub-packetization level. While the t…
VERDICT: Multi-Agent Parallel Modular Verification
arXiv:2610.29147v1 Announce Type: new Abstract: Deductive verification scales to large software systems through modular reasoning, where formal contracts summarize the behavior of individual functions and enable their in…
SAFTER: Safety-Aware Filtering Through Explicit Recoverability for Robust Reinforcement Learning under Distribution Shift
arXiv:2610.29149v1 Announce Type: new Abstract: Learning safe policies that generalize to unseen environments is difficult under bounded actuation, where an unsafe decision may become unrecoverable. Conventional control …
Where Does Timbre Hide? Localizing Speaker Information in Speech Signals
arXiv:2610.29150v1 Announce Type: new Abstract: Timbre similarity is a key evaluation target for generative speech systems, including voice conversion, speaker-cloning text-to-speech, and zero-shot speech models. When th…
From Augmentation to Synthetic Evidence: Evaluating Generated Chest Radiographs at Dataset Intake
arXiv:2610.29152v1 Announce Type: new Abstract: A generated chest radiograph can be useful as declared augmentation, but the same image becomes unsupported evidence when submitted as the record of a real examination. We …
Cycle structure of best-response dynamics in random bimatrix games
arXiv:2610.29153v1 Announce Type: new Abstract: We study the best-response dynamics in games with random payoffs. We consider two-player bimatrix games, with $n$ strategies each. We assume that payoffs come from a contin…
5uGUE: Agentic Hardware-in-the-Loop Fuzzing for 5G Devices and beyond
arXiv:2610.29155v1 Announce Type: new Abstract: In this paper, we present 5uGUE, a large language model (LLM)-driven hardware-in-the-loop agent, which enables the wireless fuzzing of 5G-enabled devices (such as mobile ph…
SICAF: Time-Varying Focus Bottleneck for Self-Supervised Event-Based Optical Flow with Spiking Neural Network
arXiv:2610.29158v1 Announce Type: new Abstract: Event-based optical flow estimation achieves high temporal resolution and dynamic range by exploiting asynchronous events, while self-supervised learning provides an effect…
RiO-DETRv2: Geometry-Aware Uncertainty Modeling Meets Real-Time Oriented Object Detection Transformer
arXiv:2610.29159v1 Announce Type: new Abstract: RiO-DETR is the first real-time end-to-end transformer for oriented object detection, yet further localization gains require a more expressive box representation. Although …
AI-Based End-to-End Automotive Design and Software Development for SDVs
arXiv:2610.29160v1 Announce Type: new Abstract: This paper explores the potential of Artificial Intelligence (AI) to enable end-to-end automotive design and software development for Software-Defined Vehicles (SDVs). Base…