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Hallucination

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Showing 651–700 of 1816 papers

TitleStatusHype
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability—0
LargePiG: Your Large Language Model is Secretly a Pointer Generator—0
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
MLLM can see? Dynamic Correction Decoding for Hallucination MitigationCode2
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
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion—0
SkillAggregation: Reference-free LLM-Dependent Aggregation—0
VideoAgent: Self-Improving Video GenerationCode2
LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language ModelsCode0
Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG—0
Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code—0
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
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video UnderstandingCode1
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
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model PromptingCode1
Automatic Curriculum Expert Iteration for Reliable LLM ReasoningCode1
LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts—0
IterGen: Iterative Semantic-aware Structured LLM Generation with BacktrackingCode1
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models—0
Utilize the Flow before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction TuningCode0
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision MakingCode3
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment—0
ReFIR: Grounding Large Restoration Models with Retrieval AugmentationCode2
Listening to Patients: A Framework of Detecting and Mitigating Patient Misreport for Medical Dialogue Generation—0
Gradual Learning: Optimizing Fine-Tuning with Partially Mastered Knowledge in Large Language Models—0
FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning—0
Differential TransformerCode2
TLDR: Token-Level Detective Reward Model for Large Vision Language Models—0
AI-Enhanced Ethical Hacking: A Linux-Focused Experiment—0
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention CausalityCode2
Mitigating Hallucinations Using Ensemble of Knowledge Graph and Vector Store in Large Language Models to Enhance Mental Health Support—0
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination—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
SAG: Style-Aligned Article Generation via Model Collaboration—0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language ModelsCode2
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) ModelsCode0
FactCheckmate: Preemptively Detecting and Mitigating Hallucinations in LMs—0
Characterizing Context Influence and Hallucination in SummarizationCode0
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text GenerationCode1
Salient Information Prompting to Steer Content in Prompt-based Abstractive SummarizationCode0
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