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Hallucination

Papers

Showing 9761000 of 1816 papers

TitleStatusHype
Toxicity in Multilingual Machine Translation at Scale0
TPC: Cross-Temporal Prediction Connection for Vision-Language Model Hallucination Reduction0
Trading off Consistency and Dimensionality of Convex Surrogates for the Mode0
Training Dynamics for Text Summarization Models0
Training Dynamics for Text Summarization Models0
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability0
Transferring Knowledge from Vision to Language: How to Achieve it and how to Measure it?0
Transforming Sequence Tagging Into A Seq2Seq Task0
Trapping LLM Hallucinations Using Tagged Context Prompts0
Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack0
Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models0
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking0
Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders0
TRUST -- Transformer-Driven U-Net for Sparse Target Recovery0
TruthFlow: Truthful LLM Generation via Representation Flow Correction0
Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study0
Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs0
Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models0
Uncertainty Aware Review Hallucination for Science Article Classification0
Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models0
UNCLE: Uncertainty Expressions in Long-Form Generation0
Understanding Alignment in Multimodal LLMs: A Comprehensive Study0
Understanding and predicting user dissatisfaction in a neural generative chatbot0
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation0
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