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20232026
most citedThe Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit

1 citations · 3 across the 10 of their papers we have counts for

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cs.CL2024

Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion

Hengrui Gu, Kaixiong Zhou, Yili Wang +2

During pre-training, the Text-to-Image (T2I) diffusion models encode factual knowledge into their parameters. These parameterized facts enable realistic image generation, but they…

cs.CL2024★ 1 cited

Cross-Lingual Multi-Hop Knowledge Editing

Aditi Khandelwal, Harman Singh, Hengrui Gu +2

Large language models are often expected to constantly adapt to new sources of knowledge and knowledge editing techniques aim to efficiently patch the outdated model knowledge, wit…