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Hallucination

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Showing 951–1000 of 1816 papers

TitleStatusHype
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
Efficient Self-Improvement in Multimodal Large Language Models: A Model-Level Judge-Free Approach—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Eliciting Language Model Behaviors with Investigator Agents—0
Emergence and dynamics of delusions and hallucinations across stages in early psychosis—0
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment—0
Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph—0
Endowing Embodied Agents with Spatial Reasoning Capabilities for Vision-and-Language Navigation—0
Enhanced document retrieval with topic embeddings—0
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation—0
Enhancing Emergency Decision-making with Knowledge Graphs and Large Language Models—0
Enhancing Guardrails for Safe and Secure Healthcare AI—0
Enhancing Hallucination Detection through Noise Injection—0
Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Enhancing Multi-Agent Consensus through Third-Party LLM Integration: Analyzing Uncertainty and Mitigating Hallucinations in Large Language Models—0
From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information—0
Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables—0
Enhancing Retrieval Processes for Language Generation with Augmented Queries—0
Enhancing Scientific Reproducibility Through Automated BioCompute Object Creation Using Retrieval-Augmented Generation from Publications—0
Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection—0
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration—0
Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs—0
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection—0
Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models—0
Entity-based De-noising Modeling for Controllable Dialogue Summarization—0
Entropy Guided Extrapolative Decoding to Improve Factuality in Large Language Models—0
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance—0
Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination—0
Estimating the Hallucination Rate of Generative AI—0
ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries—0
Quantity Matters: Towards Assessing and Mitigating Number Hallucination in Large Vision-Language Models—0
Evaluating ChatGPT as a Question Answering System: A Comprehensive Analysis and Comparison with Existing Models—0
Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities—0
Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent—0
Evaluating Text-to-Speech Synthesis from a Large Discrete Token-based Speech Language Model—0
Evaluating the Accuracy of Chatbots in Financial Literature—0
Evaluation Hallucination in Multi-Round Incomplete Information Lateral-Driven Reasoning Tasks—0
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering—0
Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample—0
Evidence to Generate (E2G): A Single-agent Two-step Prompting for Context Grounded and Retrieval Augmented Reasoning—0
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling—0
Experimenting with Large Language Models and vector embeddings in NASA SciX—0
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation—0
Explaining Agent Behavior with Large Language Models—0
Explaining Legal Concepts with Augmented Large Language Models (GPT-4)—0
Explanatory Summarization with Discourse-Driven Planning—0
Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering—0
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