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1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Towards Effective Structured Context Modeling for Conversational Recommender Systems via Dual-node Monte Carlo Tree Search
arXiv:2609.00618v2 Announce Type: new Abstract: We investigate the role of conversational context modeling in user preference tracking for Conversational Recommendation Systems (CRSs). In this regard, we propose DREAMS, …
DSG: Dynamic 3D Scene Graph Construction for Embodied Agents in Changing Indoor Environments
arXiv:2609.00619v1 Announce Type: new Abstract: In indoor environments, object positions frequently change due to human activities or embodied-agent interactions, causing previously constructed scene graphs to become inc…
Control-Data Flow Separation: Stable Prompt Optimization in Multi-Agent LLMs
arXiv:2609.00621v1 Announce Type: new Abstract: Prompt optimization can improve multi-agent LLM systems, but the prompts being optimized often serve two entangled roles: generating task-relevant content and specifying ex…
Trust Your Guide Only When Certain: Uncertainty-Aware Sparse Alignment at Inference Time
arXiv:2609.00624v1 Announce Type: new Abstract: A prominent paradigm in inference-time alignment employs lightweight supervisors to steer Large Language Models (LLMs). Through empirical analysis, we identify a structural…
Inverse Rendering for Modeling with Line Primitives
arXiv:2609.00625v1 Announce Type: new Abstract: Faithfully capturing diverse real-world objects with fuzzy, anisotropic structures, such as hair, fur, fibers, and textiles, for efficient real-time visualization remains c…
Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation
arXiv:2609.00628v1 Announce Type: new Abstract: Global welfare often depends on the correct interpretation of aerial and satellite imagery. Acting on such imagery (mapping flooded ground, crop extent, or damaged infrastr…
ExpArt-KG: Artwork Image Description Generation through Iterative Exploration of Knowledge Graphs
arXiv:2609.00629v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) achieve strong performance on image-grounded text generation and visual question answering. However, it remains difficult for them to c…
Breaking the Structural Identity: Personalized Federated LoRA Fine-tuning under Rank Heterogeneity
arXiv:2609.00632v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved remarkable success across diverse domains, but their adaptation to privacy-sensitive, distributed datasets remains a challenge. W…
Beyond Landmark Extraction: A Framework for Robust Geometric Feature Construction in Structured Image Classification
arXiv:2609.00634v2 Announce Type: new Abstract: Much of the literature on structured image recognition has disproportionately focused on the comparison of classification algorithms. Rather than investigating which classi…
It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning
arXiv:2609.00638v1 Announce Type: new Abstract: Retrieval is the first stage of modern search and advertising systems, selecting a candidate set from a large item universe for downstream ranking and auction. Recent work …
TUTTI: Toward generalizable audio-to-score transcription via fully synthesized data
arXiv:2609.00640v1 Announce Type: new Abstract: Generalizable Audio-to-Score (A2S) transcription is fundamentally constrained by the severe scarcity of high-quality, real-world paired data. Relying solely on existing hum…
AM-Bench: A Modular Simulation Suite and Benchmark for Aerial Manipulation Policy Learning
arXiv:2609.00641v1 Announce Type: new Abstract: Standardized benchmarks have played a central role in advancing robot manipulation learning, yet most focus on ground-supported manipulation systems, which limits their app…
REVISE: Validity-Guided Recovery for Online Revisions in Agent Workflows
arXiv:2609.00643v1 Announce Type: new Abstract: Agent revisions expose a fundamental correctness--efficiency trade-off during concurrent execution. Discarding ongoing work preserves latest-version correctness but wastes …
DramaChain Bench: An End-to-End Benchmark for Short-Drama Generation
arXiv:2609.00646v1 Announce Type: new Abstract: Commercial short-drama production follows a multi-stage chain: script, storyboard, keyframe imagery, shot-level video, and the finished short drama. Most existing benchmark…
DK-GBMKKM: Dynamic Kernel-Space Granular-Ball Multiple Kernel $k$-Means Clustering
arXiv:2609.00647v1 Announce Type: new Abstract: Multiple kernel $k$-means integrates complementary nonlinear similarities by learning a combination of base kernels. Its pointwise optimization, however, is sensitive to no…
Human-robot conversation with multiple participants in noisy public spaces
arXiv:2609.00648v1 Announce Type: new Abstract: For noisy real-world environments such as those in open public spaces, spoken dialogue systems for both autonomous robots and avatars should be carefully designed to provid…
You Cannot Photograph the Same Street Twice: Reliability Limits in Vision-Language Measurement of Urban Change
arXiv:2609.00649v1 Announce Type: new Abstract: Vision-language models are increasingly used to measure urban change from repeated street-level imagery, but their longitudinal reliability is not well understood. We test …
IMU-Aided Correction of Orientation-Induced Ranging Error in Bluetooth Channel Sounding on Commercial Hardware
arXiv:2609.00650v1 Announce Type: new Abstract: Bluetooth Low Energy Channel Sounding (BLE CS), standardized in Bluetooth Core Specification 6.0 (September 2024), enables distance estimation via phase-based ranging (PBR)…
Strategic and Grid-Aware Maintenance Planning of Offshore Wind Farms
arXiv:2609.00651v1 Announce Type: new Abstract: Wind turbines require regular maintenance and the resulting costs are a substantial component of a wind farm's cost of electricity production. As a result, there has been o…
Self-Reports Are Not Verification: Environment-Grounded Auditing of LLM Operators in Evolutionary Search
arXiv:2609.00652v1 Announce Type: new Abstract: Language model agents increasingly propose actions, observe external feedback, and explain their own behavior. Their confidence and rationales are convenient monitoring sig…