AI
Constitutive Priors for Machine Intelligence: A Legitimacy Theory of the Artificial Physical World
Researchers propose a new approach to machine intelligence that focuses on the 'artificial physical ...
AI
SkillCommit: Evolving Agent Skills through Behaviorally Validated Scope Expansion
Researchers propose a new framework called SkillCommit to improve the performance of large language ...
AI
LongRCA Bench: Diagnosing Responsible Roles and Root Causes in Long-Horizon Agent Failures
Researchers have developed a new benchmark called LongRCA Bench to help diagnose problems in long-ho...
AI
Demographic Injection in Medical Language Models under Diversity, Equity, and Inclusion Prompts
Researchers have found that adding a single prompt to medical language models, aimed at promoting di...
AI
Towards Standardized Evaluation in Automated Domain Modeling: Introducing a Benchmark
A new benchmark has been introduced for evaluating automated domain modeling app...
AI
Decentralized Federated Learning for Heterogeneous Multi-Task Semantic Communication
A new decentralized federated learning method has been proposed for heterogeneou...
AI
VibeWorlding: Can Multimodal Agents Construct 3D Open Worlds End-to-End?
Researchers propose VibeWorlding, a framework for training and benchmarking mult...
AI
$D^{2}R^{2}$: Discrete Diffusion with Regulation Reinforcement for Single-Cell Perturbation Prediction
Researchers have developed a new approach called $D^{2}R^{2}$ to predict how ind...