PRISM-MCTS: Efficient Reasoning with Metacognitive Reflection
Discover PRISM-MCTS, a novel reasoning model using metacognitive reflection and shared memory to improve efficiency and accuracy in NLP tasks.
Multi-Agent Pathfinding with Non-Unit Edge Costs Using CBS-NIC
Explore advanced multi-agent pathfinding with non-unit integer edge costs using enhanced Conflict-Based Search and graph discretization for better efficien...
CODESTRUCT: Enhancing Code Agents with Structured Actions
Discover CODESTRUCT, a framework that boosts AI code agents by using structured action spaces for improved accuracy and efficiency in code generation.
HYVE: Optimizing LLM Context for Machine Data Analysis
Discover HYVE, a hybrid framework that enhances LLM context engineering for large machine data, boosting accuracy and reducing token usage.
Cross-domain Knowledge Transfer for Improved In-Context Learning
Explore how cross-domain knowledge transfer enhances in-context learning by leveraging prior knowledge to improve AI reasoning across domains.