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Hallucination

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Showing 751–800 of 1816 papers

TitleStatusHype
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language ModelsCode0
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful ComparatorsCode0
LightHouse: A Survey of AGI HallucinationCode0
Enhancing Retrieval Processes for Language Generation with Augmented Queries—0
Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables—0
Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation—0
From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information—0
Can Structured Data Reduce Epistemic Uncertainty?—0
Enhancing Multi-Agent Consensus through Third-Party LLM Integration: Analyzing Uncertainty and Mitigating Hallucinations in Large Language Models—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Can Open-source LLMs Enhance Data Synthesis for Toxic Detection?: An Experimental Study—0
Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine—0
Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?—0
Applying RLAIF for Code Generation with API-usage in Lightweight LLMs—0
Enhancing Hallucination Detection through Noise Injection—0
Enhancing Guardrails for Safe and Secure Healthcare AI—0
Enhancing Emergency Decision-making with Knowledge Graphs and Large Language Models—0
Can LLM be a Good Path Planner based on Prompt Engineering? Mitigating the Hallucination for Path Planning—0
Applications of Large Language Model Reasoning in Feature Generation—0
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation—0
Enhanced document retrieval with topic embeddings—0
Can Large Language Models Play Games? A Case Study of A Self-Play Approach—0
Endowing Embodied Agents with Spatial Reasoning Capabilities for Vision-and-Language Navigation—0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering—0
A Perspective for Adapting Generalist AI to Specialized Medical AI Applications and Their Challenges—0
AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for Face Hallucination—0
Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph—0
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment—0
Emergence and dynamics of delusions and hallucinations across stages in early psychosis—0
Can Foundational Large Language Models Assist with Conducting Pharmaceuticals Manufacturing Investigations?—0
Can a Transformer Pass the Wug Test? Tuning Copying Bias in Neural Morphological Inflection Models—0
Eliciting Language Model Behaviors with Investigator Agents—0
Can a Hallucinating Model help in Reducing Human "Hallucination"?—0
Anticipation-free Training for Simultaneous Translation—0
Calm-Whisper: Reduce Whisper Hallucination On Non-Speech By Calming Crazy Heads Down—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model—0
Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach—0
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning—0
Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -—0
Calibrated Language Models Must Hallucinate—0
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery—0
Adversarial Discriminative Heterogeneous Face Recognition—0
Abstraction ou hallucination ? État des lieux et évaluation du risque pour les modèles de génération de résumés automatiques de type séquence-à-séquence (Abstraction or Hallucination ? Status and Risk assessment for sequence-to-sequence Automatic)—0
Efficient and robust 3D blind harmonization for large domain gaps—0
Effectiveness Assessment of Recent Large Vision-Language Models—0
ByDeWay: Boost Your multimodal LLM with DEpth prompting in a Training-Free Way—0
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph—0
BRIDO: Bringing Democratic Order to Abstractive Summarization—0
EAZY: Eliminating Hallucinations in LVLMs by Zeroing out Hallucinatory Image Tokens—0
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