Papers by Kailin Zhang
QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation (2026.findings-acl)
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| Challenge: | Existing methods for reducing LLM hallucinations rely on model-internal signals . Existing approaches rely only on model internal signals, resulting in unreliability . |
| Approach: | They propose a method that shifts from subjective confidence to objective statistics . they leverage Infini-gram for millisecond-latency queries over 4 trillion tokens . |
| Outcome: | The proposed method reduces hallucinations in large language models by reducing uncertainty in the model. |