Clinical Feasibility of Low-Magnification Fluorescence Imaging for Breast Cancer Margin D…
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Noticias de IA
29341 elementos — filtrados, clasificados y sin duplicados
Agent Safety Should Be a Runtime Contract
Terminal Symmetry as a Decision Resource: Statewise Refinement for Anytime Verified Const…
TRACES: A Benchmark for Epistemic Reliability in Scientific Reasoning by LLMs
Faithful, Sufficient and Understandable: Rethinking Graph Counterfactual Explanations via…
M-Net: Integrating Spectral Features and Physical Field Operators into Deep Learning for …
OpenAg: Democratizing Agricultural Intelligence
Structural Silence: When AI Infrastructure Fails Speakers of Underrepresented Languages
REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation
Local verification cannot detect non-transportability: a cohomological theory of context …
TangPoetryBench: A Multi-Dimensional Benchmark and Rubric-Conditioned Evaluator for Poetr…
The Wording Effect: Quantifying Two-Way Drift in LLM Benchmark Performance
The Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Eng…
Consolidator: Learning Persistent Routed Memory Across Context Boundaries
Low-Interaction-Rank Learning: Unifying Multiplicative Dual-Encoder Heads
Glance, Scrutinize, and Think: Advancing Video Anomaly Detection from Training-Free to Ag…
Hybrid-Policy Self-Editing for Composable Unstructured Knowledge Editing
Robust and Efficient Noisy-Label Time-Series Classification via Dynamic Time Warping Base…
Keep the Future, Drop the Rollout: RIFT for World Action Models
Learning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL
Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids: From Rob…
Post-Training with Policy Gradients: Optimality and the Base Model Barrier
Towards the Harness of Embodied Agents
Foresight Without Seeing: Latent Futures for World Action Models
Who Thinks Best Depends on How Long You Let Them: Budget-Dependent Rankings in LLM Evalua…
Backtrader-Bench: Benchmarking LLM Agents on Algorithmic Trading with Self-Generated MCQs
From Monolithic to Modular: Segment-level Automatic Prompt Optimization
Distribird: Literature-Informed Prior Distribution Design for Bayesian Model Calibration
High-dimensional Multi-objective Bayesian Optimization with Learned Variable Interactions
Inferential Capability Does Not Determine Legal Scope