Co-Evolving Structured Knowledge and Reasoning in Language Models
cs.CL, cs.AI, cs.LG
Submitted: 2026-08-26
Updated: 2026-09-06
Code: https://github.com/kilian-group/KBevo
Terminology
Sources
- On the Opportunities and Risks of Foundation Models
- Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need
- Toy Models of Superposition
- Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs
- Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
- Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning
- Pretraining with hierarchical memories: separating long-tail and common knowledge
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Large Language Models Can Be Easily Distracted by Irrelevant Context
- SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
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