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Hallucination

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Showing 651–675 of 1816 papers

TitleStatusHype
LargePiG: Your Large Language Model is Secretly a Pointer Generator—0
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability—0
MLLM can see? Dynamic Correction Decoding for Hallucination MitigationCode2
Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language ModelsCode0
Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs—0
On the Capacity of Citation Generation by Large Language Models—0
Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions—0
AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data—0
Can Structured Data Reduce Epistemic Uncertainty?—0
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning—0
SkillAggregation: Reference-free LLM-Dependent Aggregation—0
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion—0
VideoAgent: Self-Improving Video GenerationCode2
LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language ModelsCode0
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code—0
Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG—0
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment—0
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video UnderstandingCode1
A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency ValidationCode0
Measuring the Inconsistency of Large Language Models in Preferential Ranking—0
PublicHearingBR: A Brazilian Portuguese Dataset of Public Hearing Transcripts for Summarization of Long Documents—0
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering—0
Automatic Curriculum Expert Iteration for Reliable LLM ReasoningCode1
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model PromptingCode1
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts—0
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