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Hallucination

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Showing 1401–1425 of 1816 papers

TitleStatusHype
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models—0
Exploring Neural Architectures And Techniques For Typologically Diverse Morphological Inflection—0
Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization—0
Exploring the Knowledge Mismatch Hypothesis: Hallucination Propensity in Small Models Fine-tuned on Data from Larger Models—0
Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness—0
Extracting Norms from Contracts Via ChatGPT: Opportunities and Challenges—0
FaceDet3D: Facial Expressions with 3D Geometric Detail Hallucination—0
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning—0
Face Hallucination Revisited: An Exploratory Study on Dataset Bias—0
Face hallucination using cascaded super-resolution and identity priors—0
Face Hallucination using Linear Models of Coupled Sparse Support—0
Face Hallucination with Finishing Touches—0
Face Super-resolution Guided by Facial Component Heatmaps—0
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation—0
Facial Attribute Capsules for Noise Face Super Resolution—0
Facial Feature Point Detection: A Comprehensive Survey—0
Facial Reenactment Through a Personalized Generator—0
FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation—0
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification—0
FactCheckmate: Preemptively Detecting and Mitigating Hallucinations in LMs—0
FACTOID: FACtual enTailment fOr hallucInation Detection—0
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs—0
Fact :Teaching MLLMs with Faithful, Concise and Transferable Rationales—0
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities—0
Feature Hallucination for Self-supervised Action Recognition—0
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