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Hallucination

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Showing 1001–1025 of 1816 papers

TitleStatusHype
LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language ModelsCode0
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment—0
Measuring the Inconsistency of Large Language Models in Preferential Ranking—0
A Methodology for Evaluating RAG Systems: A Case Study On Configuration Dependency ValidationCode0
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts—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
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction TuningCode0
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models—0
FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning—0
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models—0
Listening to Patients: A Framework of Detecting and Mitigating Patient Misreport for Medical Dialogue Generation—0
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment—0
AI-Enhanced Ethical Hacking: A Linux-Focused Experiment—0
TLDR: Token-Level Detective Reward Model for Large Vision Language Models—0
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination—0
Mitigating Hallucinations Using Ensemble of Knowledge Graph and Vector Store in Large Language Models to Enhance Mental Health Support—0
DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech—0
TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable QuestionsCode0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
SAG: Style-Aligned Article Generation via Model Collaboration—0
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) ModelsCode0
FactCheckmate: Preemptively Detecting and Mitigating Hallucinations in LMs—0
Salient Information Prompting to Steer Content in Prompt-based Abstractive SummarizationCode0
Characterizing Context Influence and Hallucination in SummarizationCode0
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