Tag: LLM reasoning
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KG-Reasoner: Reinforced Model for Multi-Hop KG Reasoning
Discover KG-Reasoner, a reinforced model using RL for dynamic, end-to-end multi-hop reasoning over knowledge graphs, boosting complex query accuracy.
KnowRL: Enhance LLM Reasoning with Reinforcement Learning
Discover KnowRL, a novel reinforcement learning framework that boosts LLM reasoning using minimal-sufficient knowledge guidance for superior AI performance...
GAM: Hierarchical Graph Memory Boosts LLM Agent Accuracy
Discover GAM, a hierarchical graph-based memory framework enhancing long-term reasoning and context retention in Large Language Model agents.
SHAPE Framework Enhances LLM Reasoning Efficiency
Discover how the SHAPE framework boosts large language model reasoning with 3% accuracy gain and 30% less token use.
LLM Reasoning Trajectories: Geometry & Accuracy Insights
Explore how LLM reasoning follows step-specific trajectories, enabling accuracy prediction and control through geometric analysis of representations.