Self-Improving Language Models with Bidirectional Evolutionary Search
- Published
- Source
- arXiv
- Paper number
- 263
- Field
- LLMs / NLP
- arXiv ID
- 2605.28814
Key points
- The merge operator takes two different reasoning paths that share the same starting point and merges their unique suffixes, allowing the model to synthesize successful components from multiple attempts.
- Deletion removes a single internal step from a trajectory, which helps simplify reasoning or eliminate redundant filler steps that can send the model in the wrong direction.
- Transposition replaces one step in a trajectory with a step from another trajectory, similar to swapping out a piece of logic to see whether a different approach fits the same context better.
Paper links
External research summaries. These are not HDATF publications or measured product results.