KnowBench: Effort Reduction as a Unified, Deployment-Grounded Benchmark for Clinical AI
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Atria Dawn: The Dawn of Agentic Superintelligence
AlgoEvo: Self-Evolving Agentic Search for Automated Algorithm Discovery
Recurrent GraphNeural NetworkswithSet-BasedAggregation
Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theo…
Towards Optimizing SQL Generation via LLM Routing
Natural-Language to SysMLv2 Translation via Conformance-Driven Iterative Refinement
From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelli…
LLMs or Naive Bayes? Old Gems or New Ways
Diagnosing Faults in Reinforcement Learning Simulators and World Models with Canonical Po…
Planning as Dynamics Relaxation: Hippocampal Recurrent Network Realizes Optimal Goal-Dire…
Evaluation of MLLM-Agnostic Plug-and-Play Keyframe Selection Methods for Long Video Under…
(How) Do MLLMs Report Bistable Images Like Humans?
Sampling headroom is not selection gain: a compute-value audit of test-time scaling for v…
TryOnReward: Learning Foveated Consistency for Reinforcement Fine-Tuning of Virtual Try-On
From Process Loss to Assembly Bonus: Human-Grounded Diagnosis of Multi-Agent LLM Collabor…
A Conservative OCR-Enabled Workflow for R214 Sodium Screening of South African Packaged F…
Conflict-Predictive Variable Horizons in Multi-Drone Distributed Model Predictive Control
Multimodal-Multiresolution Foundation Model for Lunar Remote Sensing
LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI Agents
IMM-based Multiple Object Tracking using a State Prediction Neural Network
Task-Based CT Protocol Optimization Using Reinforcement Learning and Virtual Imaging Tria…
Feasibility and Memory Mechanisms of Chern-Simons Context Reservoir Computation
Pedestrian Crossing Intent Classification From Event-Based Vision Using Convolutional Spi…
The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment
SkillAtlas: An Attack Trace Library for Agent Skills
Task-Aware Federated Fine-Tuning for MoE-based Large Language Models
Chance-Constrained Belief-Space Maneuver Planning for Autonomous Collision Avoidance Unde…
Self-Evolving Memory for Generative Recommendation
A Unified Vision-Language Model for PSMA PET/CT Report Generation, Visual Question Answer…