GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI

arXiv:2609.30147 · cs.AI, cs.CL, cs.LG, cs.MA · Submitted 2026-09-24 · Read on arXiv

cs.AI, cs.CL, cs.LG, cs.MA

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Accuracy — 33× in this paper · explained in 1 episode
• Knowledge Base — 17× in this paper
• Ablation — 11× in this paper · explained in 1 episode
• Information Leakage — 11× in this paper · explained in 2 episodes
• Verification — 11× in this paper · explained in 2 episodes
• Large Language Model — 10× in this paper
• Consistency — 7× in this paper · explained in 3 episodes
• Ablation study — 6× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Hallucination — 5× in this paper · explained in 3 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Human-in-the-Loop — 4× in this paper · explained in 3 episodes
• Regularization — 4× in this paper · explained in 3 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Agentic AI — 3× in this paper · explained in 1 episode
• Task Planning — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Guidelines Agent — 2× in this paper
• Multi-Agent Framework — 2× in this paper · explained in 3 episodes
• Plan Generation Agent — 2× in this paper
• Self-consistency — 2× in this paper · explained in 2 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Agentic AI systems — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Agentic System — 1× in this paper · explained in 2 episodes
• Best-of-N Sampling — 1× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Constraint Agent — 1× in this paper
• Exact Match — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Semantic Drift — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• GPT-4o System Card
• Large Language Models for Planning: A Comprehensive and Systematic Survey
• Magentic-UI: Towards Human-in-the-loop Agentic Systems
• Pre-Act: Multi-Step Planning and Reasoning Improves Acting in LLM Agents
• RunAgent: Interpreting Natural-Language Plans with Constraint-Guided Execution
• Teaching LLMs to Plan: Logical Chain-of-Thought Instruction Tuning for Symbolic Planning
• LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey
• A Survey on the Optimization of Large Language Model-based Agents
• TextGrad: Automatic "Differentiation" via Text

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