DAGForge: Auditable Causal DAG Authoring with Biomedical Literature
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When Is a Learned Command Adapter Worth It? Closed-Loop Identification and Counterfactual…
Multi-Agent System-driven Digital Twins for predictive maintenance: architectures, techno…
TRW: TRACE-RealWorld---An Auditable Consistency Contract for World Models as Materialized…
Semiotic logical hexagon theory for LLM logical reasoning
Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement…
Reasoning Denoiser: Denoising Reasoning Traces for Hallucination Detection in Large Reaso…
Industrial Tokenization for LLM-Based Health Intelligence: A Federated Architecture for I…
Learning on the Job: Continual Learning from Deployment Feedback for Frozen-Weights Agents
Deconstructing Off-Policy Ratios: Entropy-Scaled Trust Regions for Asynchronous Reinforce…
dRAE: Representation Autoencoder with Hyper-Spherical Codes
Robot Learning to Communicate through Projected Visual Abstractions
Indexing: the Beginning and the End
Multiplicity of Stable Attractors in Disordered Neural Models
TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternar…
Risk Is Not the Target: A Monotonic Framework for Evaluating Wildfire Operational Risk Si…
Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy
From Frame-Level Recognition to Event-Level Confirmation: Repair Traces and Runtime Failu…
Ordered Action Tokens for Visuomotor Policy Learning
EVL-MCoT: Enhanced Vision-Language Multi-CoT for Harmful Meme Detection
Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG
Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support
Vector-Valued Reproducing Kernel Banach Spaces for Neural Networks and Operators
Beyond Text-to-SQL: Can LLMs Really Debug Enterprise ETL SQL?
Analyzing the Ethical Logic of Eight Large Language Models
The pretraining domain outweighs the training objective in setting the privacy-utility tr…
A Statistical Multi-Objective Framework for Assessing Sensitivity of Radiomic AI Models t…
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learni…
TILT: Improving Compositional Generation in Diffusion Models with a Model-Intrinsic Reward
CEL: Comprehensive Counterfactual Explanations Library and Benchmark