Academic
arXiv:2602.19043v1 Announce Type: new Abstract: Editing Large language models (LLMs) with real-world, unstructured knowledge is essential for correcting and updating their internal parametric knowledge. In …
arXiv:2602.20303v1 Announce Type: new Abstract: Background: Childhood and adolescent overweight and obesity remain major public health concerns in the United States and are shaped by …
arXiv:2602.20324v1 Announce Type: new Abstract: Phenotyping is fundamental to rare disease diagnosis, but manual curation of structured phenotypes from clinical notes is labor-intensive and difficult …
arXiv:2602.20333v1 Announce Type: new Abstract: We present DMCD (DataMap Causal Discovery), a two-phase causal discovery framework that integrates LLM-based semantic drafting from variable metadata with …
arXiv:2602.20422v1 Announce Type: new Abstract: Diffusion models have shown promising capabilities in trajectory generation for planning in offline reinforcement learning (RL). However, conventional diffusion-based planning …
arXiv:2602.20424v1 Announce Type: new Abstract: Real-world requests to AI agents are fundamentally underspecified. Natural human communication relies on shared context and unstated constraints that speakers …
arXiv:2602.20426v1 Announce Type: new Abstract: The performance of LLM-based agents depends not only on the agent itself but also on the quality of the tool …
arXiv:2602.20459v1 Announce Type: new Abstract: Can AI systems trained on the scientific record up to a fixed point in time forecast the scientific advances that …
arXiv:2602.20494v1 Announce Type: new Abstract: Driven by the increasingly complex and decision-oriented demands of time series analysis, we introduce the Semantic-Conditional Time Series Reasoning task, …
arXiv:2602.20502v1 Announce Type: new Abstract: Existing Graphical User Interface (GUI) agents operate through step-by-step calls to vision language models--taking a screenshot, reasoning about the next …
arXiv:2602.20517v1 Announce Type: new Abstract: Effective human-AI coordination requires artificial agents capable of exhibiting and responding to human-like behaviors while adapting to changing contexts. Imitation …
