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Yongchao Long

2 accepted papers

2026

Copy-Paste to Mitigate Large Language Model Hallucinations

ICLR 2026poster

While Retrieval-Augmented Generation (RAG) enables large language models (LLMs) to generate contextually grounded responses, contextual faithfulness remains challenging as LLMs may not consistently trust provided context, leading to hallucinations that undermine reliability. We observe an inverse co…

Cited by 0SourcecodeScholar
2019

ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding

CVPR 2019poster

We propose an attention-injective deformable convolutional network called ADCrowdNet for crowd understanding that can address the accuracy degradation problem of highly congested noisy scenes. ADCrowdNet contains two concatenated networks. An attention-aware network called Attention Map Generator (A…

Cited by 355PDFScholar