Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems 事件

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems arXiv:2407.03956v3 Announce Type: replace-cross Abstract: Prior research has enhanced the ability of Large Language Models (LLMs) to solve logic puzzles using techniques such as chain-of-thought prompting or introducing a symbolic representation. These frameworks are still usually insufficient to solve complicated logical problems, such as Zebra puzzles, due to the inherent complexity of translating natural language clues into lo