Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
S$^2$Prune: Spatially Structured Visual Token Pruning for Multimodal Large Language Models
arXiv:2609.01224v1 Announce Type: new Abstract: Visual token pruning reduces the inference overhead of multimodal large language models (MLLMs) by retaining only a subset of visual tokens. Existing methods usually select…
Multi-Head Self Attention is a Parameter Identification Mechanism
arXiv:2609.01231v1 Announce Type: new Abstract: We prove that a multi-head scaled dot product attention can be viewed as a parameter identification strategy. The ratio of unidentified parameters to the total number of pa…
Position Matters: Feature Inversion Attacks in ViT Split Inference with Token Reduction and Shuffling
arXiv:2609.01232v1 Announce Type: new Abstract: Vision Transformers (ViTs) are increasingly used in split-inference systems, where edge devices transmit intermediate token representations to a remote cloud. In this setti…
MutMem-V2: Cryptographically Authorized Mutation in Persistent Agent Memory Portable Verification and Reproducible Evidence
arXiv:2609.01235v1 Announce Type: new Abstract: MutMem V1 introduced retention-preserving, cryptographically authorized mutation for persistent agent memory but did not provide a complete portable verification contract o…
Continuous Autonomous Refactoring: A Research Roadmap for AI-Driven Code Quality Maintenance
arXiv:2609.01236v1 Announce Type: new Abstract: Large language models have shown promising capabilities in code refactoring, but existing approaches remain limited to method-level tasks. In this paper, we envision LLM-ba…
From Language to Behavior: Scaling Sequence Transformers for Industrial Recommendation Ranking with Rec-Native Designs
arXiv:2609.01240v1 Announce Type: new Abstract: Scaling Transformers has driven large gains in language modeling, but transplanting this to behavior-sequence modeling in production ranking is challenging: recommendation …
Post-Training Science for Supervised Fine-Tuning
arXiv:2609.01244v1 Announce Type: new Abstract: Every supervised fine-tuning run forces the same chain of decisions, such as learning rate, batch size, LoRA or full fine-tuning, how many epochs, which optimiser, and what…
Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents
arXiv:2609.01245v1 Announce Type: new Abstract: Reinforcement learning is a natural way to post-train LLM agents for long-horizon interactive tasks judged only by end-of-task verification, yet a shared belief holds that …
Ready to Speak: Aligning LLMs for TTS-Friendly Text Generation
arXiv:2609.01246v1 Announce Type: new Abstract: Current Large Language Models (LLMs) are primarily optimized for written text, often producing outputs that are grammatically correct and helpful yet poorly suited for spok…
One Prompt Is Enough: Watermark Laundering Through Foundation Image Models
arXiv:2609.01249v1 Announce Type: new Abstract: Invisible watermarks are typically evaluated against predefined perturbations such as compression, blur, noise, cropping, and denoising. Public foundation image models expo…
MeRoPE: Metric Rotary Position Embedding for Camera-Controlled Video Generation
arXiv:2609.01252v1 Announce Type: new Abstract: In camera-controlled video generation, geometry-aware positional encodings condition tokens on camera extrinsics and per-token viewing rays. Existing schemes, however, have…
Highly Detailed Simulation for Connected Automated Vehicle Cooperative Driving
arXiv:2609.01254v1 Announce Type: new Abstract: End-to-end simulation of connected and automated vehicles requires consistent fidelity across mobility, environment modeling, V2X radio propagation, and decision-making/con…
Measuring the Behavioral Fidelity of Long-Horizon Human Activity Simulations
arXiv:2609.01257v1 Announce Type: new Abstract: As LLM-based human simulators are increasingly used for policy, evaluation, and training, they must faithfully reproduce real behavioral patterns. While prior work has exam…
Dual Process Motion Planning
arXiv:2609.01260v1 Announce Type: new Abstract: Robotic systems are deeply embedded in both industry and everyday life, where they are expected to act with speed, precision, and reliability. Classical control and plannin…
Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data
arXiv:2609.01262v1 Announce Type: new Abstract: Tabular deep learning (TDL) leverages neural networks (NN) to extract patterns from tabular data. Traditional TDL methods follow a supervised learning paradigm, where a tar…
What Does an Agentic Software Engineering Benchmark Measure? Profiling Task Demands and Agent Behaviour Beyond What Category Labels Reveal
arXiv:2609.01271v1 Announce Type: new Abstract: Agentic software engineering benchmarks are typically summarized by nominal category labels such as "bug fix" or "feature implementation," yet benchmarks carrying the same …
Making Prospective Memory SLM-Shaped: Typed Intention Stores for Small-Model Agents
arXiv:2609.01272v1 Announce Type: new Abstract: Prospective memory means carrying out a deferred intention at the right future cue while other work continues. Benchmarks now isolate it as an agent skill, yet frontier LLM…
Position: Privacy Is a Claim, Not a Property of Synthetic Data
arXiv:2609.01273v1 Announce Type: new Abstract: Synthetic data has become a common component of machine learning research. While widely adopted, its use in privacy-sensitive contexts has quietly shifted from a claim of r…
From Base Rollouts to RL Reasoning: A Budgeted Search Perspective
arXiv:2609.01274v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) improves language-model reasoning, but how these gains relate to inference-time decoding and search remains unclear. D…
The Constitutional Coverage Trilemma in AI Governance
arXiv:2609.01275v1 Announce Type: new Abstract: Frontier AI systems function as \emph{constitutional institutions}: each deployed model encodes an implicit ranking among safety, helpfulness, honesty, autonomy, and equity…