Papers by Himanshu Chaudhary
GRAFF: GRaph-Augmented Fine-grained Fusion for Large Language Models (2026.findings-eacl)
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| Challenge: | Existing methods to integrate graphs into LLMs compress the graph's structural information into a single token, restricting their ability to capture deep semantic and structural information. |
| Approach: | They propose a method that integrates fine-grained node-level structural information with corresponding text entities to LLMs via a lightweight, structure adapter module. |
| Outcome: | The proposed method outperforms baseline models in graph-based question answering by 10.24%. |