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Hallucination

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Showing 1451–1500 of 1816 papers

TitleStatusHype
A Survey of Hallucination in Large Foundation ModelsCode1
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis—0
DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction WrappingCode0
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in ChineseCode4
Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs—0
Zero-Resource Hallucination Prevention for Large Language ModelsCode0
Parameter Efficient Audio Captioning With Faithful Guidance Using Audio-text Shared Latent Representation—0
CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning—0
Benchmarking Large Language Models in Retrieval-Augmented GenerationCode2
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsCode3
Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition—0
Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection—0
Evaluation and Analysis of Hallucination in Large Vision-Language ModelsCode1
Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt EngineeringCode0
VIGC: Visual Instruction Generation and CorrectionCode1
Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models—0
PREFER: Prompt Ensemble Learning via Feedback-Reflect-RefineCode1
LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video ReconstructionCode1
Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI—0
Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP ConceptsCode0
FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt—0
PUMGPT: A Large Vision-Language Model for Product Understanding—0
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language ModelsCode2
Generating Faithful Text From a Knowledge Graph with Noisy Reference Text—0
Detecting and Preventing Hallucinations in Large Vision Language ModelsCode1
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction—0
TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language ModelsCode2
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategiesCode2
Balanced Classification: A Unified Framework for Long-Tailed Object DetectionCode1
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training ModelCode1
Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical EducationCode1
Transferable Decoding with Visual Entities for Zero-Shot Image CaptioningCode1
Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language ModelsCode4
User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination—0
CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based ToolsCode1
Med-HALT: Medical Domain Hallucination Test for Large Language ModelsCode1
Hallucination Improves the Performance of Unsupervised Visual Representation Learning—0
Controlling Equational Reasoning in Large Language Models with Prompt Interventions—0
Selective Generation for Controllable Language ModelsCode1
Deficiency-Aware Masked Transformer for Video InpaintingCode1
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models—0
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge GraphCode2
SINC: Self-Supervised In-Context Learning for Vision-Language Tasks—0
Effective Prompt Extraction from Language ModelsCode1
Facial Reenactment Through a Personalized Generator—0
Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationCode4
Improving RNN-Transducers with Acoustic LookAhead—0
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye ViewCode1
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation—0
Challenges in Domain-Specific Abstractive Summarization and How to Overcome them—0
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