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Hallucination

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Showing 1651–1675 of 1816 papers

TitleStatusHype
Hallucinated Neural Radiance Fields in the WildCode1
Joint stereo 3D object detection and implicit surface reconstructionCode0
Identity-Preserving Pose-Robust Face Hallucination Through Face Subspace Prior—0
AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination—0
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?—0
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation—0
Training Dynamics for Text Summarization Models—0
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization—0
Rare but Severe Errors Induced by Minimal Deletions in English-Chinese Neural Machine Translation—0
Training Dynamics for Text Summarization Models—0
Jurassic is (almost) All You Need: Few-Shot Meaning-to-Text Generation for Open-Domain Dialogue—0
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization—0
Attention-guided Generative Models for Extractive Question Answering—0
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale DatasetCode1
Frequency Aware Face Hallucination Generative Adversarial Network with Semantic Structural Constraint—0
Let there be a clock on the beach: Reducing Object Hallucination in Image CaptioningCode1
HDR-cGAN: Single LDR to HDR Image Translation using Conditional GAN—0
FaceDet3D: Facial Expressions with 3D Geometric Detail Hallucination—0
LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network—0
Controllable Neural Dialogue Summarization with Personal Named Entity PlanningCode1
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient ConversationsCode0
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?—0
Entity-Based Knowledge Conflicts in Question AnsweringCode1
No-Reference Image Quality Assessment by Hallucinating Pristine FeaturesCode1
Learning GAN-based Foveated Reconstruction to Recover Perceptually Important Image Features—0
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