Global Difference Constraint Propagation for Constraint Programming
Global Difference Constraint Propagation for Constraint Programming This paper addresses a common inefficiency in constraint programming: how systems handle...
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Global Difference Constraint Propagation for Constraint Programming This paper addresses a common inefficiency in constraint programming: how systems handle...
CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning This paper introduces MGT-B (Monitoring-Guided T...
PRO-LONG: Programmatic Memory Enables Long-Horizon Reasoning Large language model (LLM) agents often struggle with long-horizon tasks, such as those found in...
Safe Remediation as Risk-Constrained Intervention Decision in Microservice Systems addresses a critical challenge in modern IT operations: the danger of auto...
Associative Emotional Learning in Convolutional Neural Networks This research explores how deep neural networks can be used to model the way organisms learn...
As pathogen genomic surveillance becomes increasingly vital for public health, the primary challenge has shifted from generating data to analyzing it effecti...
Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning This research explores how to scale reinforcement lea...
CodeRescue addresses the challenge of managing costs when coding agents encounter errors.
Sequential Learner Modeling Using Multi-Relational Graph Convolutional Networks This paper introduces MR-ConceptGCN, a new approach designed to improve how e...
Agents in the Wild: Where Research Meets Deployment Agentic systems—AI architectures that can reason, plan, and use tools to complete complex tasks—are movin...
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