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Hallucination

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Showing 1151–1175 of 1816 papers

TitleStatusHype
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models—0
RAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models—0
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models—0
RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving—0
RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance—0
RAG-KG-IL: A Multi-Agent Hybrid Framework for Reducing Hallucinations and Enhancing LLM Reasoning through RAG and Incremental Knowledge Graph Learning Integration—0
RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization—0
RAG-Reward: Optimizing RAG with Reward Modeling and RLHF—0
Random Sampling for Fast Face Sketch Synthesis—0
Rare but Severe Errors Induced by Minimal Deletions in English-Chinese Neural Machine Translation—0
RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought—0
Real-Time Evaluation Models for RAG: Who Detects Hallucinations Best?—0
Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering—0
Attribution in Scientific Literature: New Benchmark and Methods—0
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery—0
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability—0
Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation—0
Reducing hallucination in structured outputs via Retrieval-Augmented Generation—0
Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts—0
Reducing Object Hallucination in Large Audio-Language Models via Audio-Aware Decoding—0
Reducing Tool Hallucination via Reliability Alignment—0
Reference-free Hallucination Detection for Large Vision-Language Models—0
REFIND: Retrieval-Augmented Factuality Hallucination Detection in Large Language Models—0
Refine Knowledge of Large Language Models via Adaptive Contrastive Learning—0
Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning—0
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