Table 1 Comparison of DR-CoT with chain-of-thought approaches.
From: DR-CoT: dynamic recursive chain of thought with meta reasoning for parameter efficient models
Approach | Key features | Limitations | DR-CoT improvements |
---|---|---|---|
Scratchpad7 | Intermediate computations | Lacks refinement, inefficient context handling | Recursive reasoning for dynamic updates |
Simple Prompting9 | Step-by-step zero-shot prompts | Struggles with complex tasks | Dynamic context truncation, recursion |
Task decomposition | Uses a single reasoning chain | Aggregates multiple chains via voting | |
Chain-of-Knowledge12 | Integrates external data | Depends on external sources | Manages internal context efficiently |
Modular breakdown | Weak error correction | Consensus-based voting reduces errors |