Papers by Kiran Jyothi Sheena
Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs (2025.findings-emnlp)
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| Challenge: | Existing methods that require extensive finetuning or depend on predefined algorithms are limited by training. |
| Approach: | a new retrieval-augmented framework is proposed that harnesses retrieval and large language models to address graph reasoning tasks. |
| Outcome: | The proposed method achieves 100% accuracy on most graph reasoning tasks while maintaining consistent token costs regardless of graph sizes. |