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1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Heard but Not Heeded: Paralinguistic Information Encoding and Loss in Audio-Language Models
arXiv:2609.00727v1 Announce Type: new Abstract: Audio language models are designed to understand speech, yet it remains unclear whether they capture how something is said beyond what is said. We present a mechanistic ana…
SOVER: Formal Certification of Optimization Reformulations via LLM-Assisted SMT Verification
arXiv:2609.00728v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown remarkable promise in translating and reformulating complex mathematical optimization problems across modeling languages. However, v…
Design and Implementation of a Kalman Filter-Infused Algorithm for Tilt Estimation
arXiv:2609.00730v1 Announce Type: new Abstract: Accurate tilt angle estimation is important in many engineering applications, such as robotics, motion tracking, and embedded control systems. However, measurements from lo…
Agentic Empirical Asset Pricing: Methodological Foundations
arXiv:2609.00731v1 Announce Type: new Abstract: Recent advances in LLM agents enable a new paradigm for asset pricing, which we call Agentic Empirical Asset Pricing (AEAP): systems that autonomously conduct the scientifi…
Inverse Rig Optimization from Line Drawings
arXiv:2609.00732v1 Announce Type: new Abstract: Stylized 3D character animation is largely hand-authored, with animators authoring rig parameters one keyframe at a time to find the best pose. Because stylized work reads …
Online Self-Weighted Fine-Tuning
arXiv:2609.00734v1 Announce Type: new Abstract: Standard supervised fine-tuning (SFT) assigns the same explicit loss weight to every expert demonstration, regardless of the model's changing competence over training queri…
Escaping Redundant Reasoning: Structure-Aware Search for Inference-Time LLMs
arXiv:2609.00738v1 Announce Type: new Abstract: Inference-time search with large language models (LLMs) often concentrates on a small set of structurally or semantically similar trajectories, leaving alternatives underex…
Mind the Rift: Cross-Scale Coupling Mismatch for AI-Generated Video Detection
arXiv:2609.00742v1 Announce Type: new Abstract: As AI video generators achieve cinematic realism, reliable detection becomes essential for safeguarding digital trust. We identify cross-scale coupling mismatch as a new fo…
The Price of Remembering: A Calibrated Energy Law for Computation
arXiv:2609.00744v2 Announce Type: new Abstract: Where does a computer's energy go? Mostly into keeping, not into computing. A bit held in fast storage draws power for every second it stays there, and it costs energy agai…
Feed-Forward Multi-view Multi-person Reconstruction with Contrastive Human-Aware 3D Representation
arXiv:2609.00745v1 Announce Type: new Abstract: Multi-view human reconstruction has been extensively studied under simplified settings, yet robust and efficient multi-person reconstruction in unconstrained environments r…
Text Capability Loss in Vision-Language Adaptation: An Attention-Sink Diagnosis
arXiv:2609.00746v1 Announce Type: new Abstract: Fine-tuning a pretrained LLM into a vision-language model (VLM) can erode the backbone's text capability, with the damage concentrated on tasks that require following exact…
Can Large Language Models Forecast What Researchers Study Next?
arXiv:2609.00747v1 Announce Type: new Abstract: Large language models increasingly generate research ideas, yet judging their novelty or feasibility at generation time does not establish whether they anticipate subsequen…
Measuring Optimal Transport in Transformer Depth
arXiv:2609.00748v1 Announce Type: new Abstract: A transformer carries each token's state from layer to layer, and the whole vocabulary carried together forms a cloud that moves with depth. We ask whether a trained networ…
ContextPipe: Database-Inspired Context Assembly for Long-Horizon Agents
arXiv:2609.00749v1 Announce Type: new Abstract: Long-horizon large language model (LLM) agents require context assembly: the runtime must decide what to include in each prompt, in what order, and when to compact history …
One Print, Many Moves: Monolithic Origami-inspired Folding Actuator for Composable Soft Multi-DoF Systems
arXiv:2609.00751v1 Announce Type: new Abstract: Conventional soft robot actuators excel in compliance, but their uncontrolled deformations compromise accuracy and hinder scaling to multi-degree-of-freedom (DoF) systems. …
How Do Language Models Choose Between Context and Memory?
arXiv:2609.00753v1 Announce Type: new Abstract: When contextual information conflicts with the knowledge stored in model parameters, activation directions can be used to decode and steer which source the model follows. H…
S^3martCirc: Self-supervised Smart Circuit Discovery
arXiv:2609.00755v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable performance across diverse tasks, from text summarization to question answering. Despite these capabilities, their…
Joint Training Is Not Enough: Conditioned Cross-Granularity Training for Multimodal Document Understanding
arXiv:2609.00756v1 Announce Type: new Abstract: The Mutual Reinforcement Effect (MRE) asks whether a fine, span-level and a coarse, document-level task help each other when one model handles both. We test it in multimoda…
Compile, Don't Memorize: A Context Compilation Architecture (CCA) for In-Context Learning
arXiv:2609.00759v1 Announce Type: new Abstract: Large language models (LLMs) increasingly handle in-context learning (ICL) tasks where a long, novel context defines the rules, knowledge, and output schema for a series of…
A Unified Mechanistic Analysis of Knowledge- and Safety-Based Refusals
arXiv:2609.00760v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly trained to decline queries that fall outside their knowledge (knowledge-based refusal, KR) or violate safety policies (safety-…