Papers by Dazhong Shen
REAP: Towards Effective Training-Free Chemical Reasoning with Explicit Atomic Priors (2026.findings-acl)
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| Challenge: | Current approaches to instill explicit priors into LLMs often suffer from an information bottleneck . |
| Approach: | They propose a training-free framework that equips LLMs with an external knowledge base, enabling them to reason over retrieved chemical priors dynamically. |
| Outcome: | Experiments show that REAP outperforms current reasoning methods and rivals state-of-the-art training-based models. |