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Hallucination

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Showing 1301–1350 of 1816 papers

TitleStatusHype
Deep priors for satellite image restoration with accurate uncertainties—0
DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning—0
DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities—0
DeepTIO: A Deep Thermal-Inertial Odometry with Visual Hallucination—0
Deep Visual Anomaly detection with Negative Learning—0
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination—0
Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors—0
Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation—0
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering—0
DENEB: A Hallucination-Robust Automatic Evaluation Metric for Image Captioning—0
Density Measures for Language Generation—0
Depth-based Privileged Information for Boosting 3D Human Pose Estimation on RGB—0
Designing a Symbolic Intermediate Representation for Neural Surface Realization—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Detecting Buggy Contracts via Smart Testing—0
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics—0
Detecting Hallucinations in Virtual Histology with Neural Precursors—0
Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning—0
Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Unanswerable Questions and Ambiguous Prompts—0
Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective—0
LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop—0
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service—0
DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models—0
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech—0
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration—0
Distillation of encoder-decoder transformers for sequence labelling—0
Distilling Desired Comments for Enhanced Code Review with Large Language Models—0
DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers—0
Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation—0
DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs—0
Do Androids Know They're Only Dreaming of Electric Sheep?—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer—0
Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States—0
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?—0
Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models—0
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination—0
DREAM: On hallucinations in AI-generated content for nuclear medicine imaging—0
DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models—0
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition—0
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination—0
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning—0
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation—0
EAGLE: Enhanced Visual Grounding Minimizes Hallucinations in Instructional Multimodal Models—0
EAZY: Eliminating Hallucinations in LVLMs by Zeroing out Hallucinatory Image Tokens—0
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph—0
Effectiveness Assessment of Recent Large Vision-Language Models—0
Efficient and robust 3D blind harmonization for large domain gaps—0
Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -—0
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning—0
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