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Hallucination

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Showing 1351–1375 of 1816 papers

TitleStatusHype
DiffMAC: Diffusion Manifold Hallucination Correction for High Generalization Blind Face Restoration—0
AIGCs Confuse AI Too: Investigating and Explaining Synthetic Image-induced Hallucinations in Large Vision-Language ModelsCode0
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics—0
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systemsCode0
TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance—0
Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos—0
Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds—0
On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in SummarizationCode0
Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach—0
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language ModelsCode0
Can Large Language Models Play Games? A Case Study of A Self-Play Approach—0
Sora as an AGI World Model? A Complete Survey on Text-to-Video Generation—0
ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues—0
Effectiveness Assessment of Recent Large Vision-Language Models—0
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification—0
HaluEval-Wild: Evaluating Hallucinations of Language Models in the WildCode0
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word ProblemCode0
German also Hallucinates! Inconsistency Detection in News Summaries with the Absinth DatasetCode0
The Claude 3 Model Family: Opus, Sonnet, Haiku—0
Quantity Matters: Towards Assessing and Mitigating Number Hallucination in Large Vision-Language Models—0
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering—0
Self-Consistent Decoding for More Factual Open ResponsesCode0
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection—0
Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models—0
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models—0
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