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Hallucination

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Showing 801–850 of 1816 papers

TitleStatusHype
EAGLE: Enhanced Visual Grounding Minimizes Hallucinations in Instructional Multimodal Models—0
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation—0
NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning—0
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination—0
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition—0
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation—0
Bridging LMS and Generative AI: Dynamic Course Content Integration (DCCI) for Connecting LLMs to Course Content -- The Ask ME Assistant—0
An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition—0
DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models—0
DREAM: On hallucinations in AI-generated content for nuclear medicine imaging—0
Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination—0
BRAVE: Broadening the visual encoding of vision-language models—0
Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models—0
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?—0
ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation—0
Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States—0
Blind Image Super-Resolution with Spatial Context Hallucination—0
Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models—0
An Evolutionary Large Language Model for Hallucination Mitigation—0
Do Androids Know They're Only Dreaming of Electric Sheep?—0
DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs—0
Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models—0
An evaluation of template and ML-based generation of user-readable text from a knowledge graph—0
3D human tongue reconstruction from single "in-the-wild" images—0
MAO: A Framework for Process Model Generation with Multi-Agent Orchestration—0
Piculet: Specialized Models-Guided Hallucination Decrease for MultiModal Large Language Models—0
Diverging Towards Hallucination: Detection of Failures in Vision-Language Models via Multi-token Aggregation—0
DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers—0
BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models—0
Distilling Desired Comments for Enhanced Code Review with Large Language Models—0
Distillation of encoder-decoder transformers for sequence labelling—0
BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs—0
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration—0
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis—0
An End-to-End Depth-Based Pipeline for Selfie Image Rectification—0
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models—0
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech—0
Beyond the Black Box: Interpretability of LLMs in Finance—0
An Automated Reinforcement Learning Reward Design Framework with Large Language Model for Cooperative Platoon Coordination—0
DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models—0
Beyond Logit Lens: Contextual Embeddings for Robust Hallucination Detection & Grounding in VLMs—0
Anatomy of Industrial Scale Multilingual ASR—0
A Debate-Driven Experiment on LLM Hallucinations and Accuracy—0
Developing a Reliable, Fast, General-Purpose Hallucination Detection and Mitigation Service—0
LLMAuditor: A Framework for Auditing Large Language Models Using Human-in-the-Loop—0
Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective—0
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering—0
Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Unanswerable Questions and Ambiguous Prompts—0
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