arXiv
How Language Models Organize and Structure Moral Knowledge
How do large language models (LLMs) organize moral knowledge? Models detect moral content broadly, but detection is a...
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arXiv
CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators
State-of-the-art action-conditioned video models are typically restricted to a single robot embodiment, preventing th...
arXiv
Learning a Continuous Sepsis Severity Score Without Hour-by-Hour Supervision: A Two-Site Retrospective Study
Currently used sepsis severity indices rely on fixed variables and weights established decades ago, which are coarsel...
arXiv
Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners
Static scanners are increasingly used to identify executable or otherwise unsafe content in machine- learning artifac...
arXiv
Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audit
Large language model (LLM) agents in governed organizations must let the persona (instructions, tone, self-presentati...
arXiv
Mechanistic Reaction Prediction via Discrete Flow Matching on Graph-Structured Electron Occupation
Chemical reactions are fundamentally transformations in electron space, yet most machine learning approaches model th...
arXiv
RedEvoAgent: Automatic Red-Teaming Agent with Experience-Driven Skill Evolution
LLM-based agents are increasingly deployed in product-level execution harnesses, where jailbreaks can trigger harmful...
arXiv
From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench
In real-world software development, code review typically involves iterative interactions between developers and revi...
arXiv
SWE-Prime: Fewer Trajectories, Better Performance
To improve large language models' ability to resolve real-world software issues, prior work has focused on constructi...
arXiv
WikiSkill: Compiling Agent Experience into Persistent Knowledge for Skill Evolution
Agent skills package specialized knowledge and workflows into reusable resources that extend AI agent capabilities. R...
HuggingFace
What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents
LLM agents increasingly rely on generated interaction data to learn how to interact with external environments. Agent...
HuggingFace
Magpie: Real-Time World Renderer for Interactive Games
Modern game development relies heavily on conventional graphics pipelines. High-quality visual content requires model...