newsGoogle News — LLMTrust 62 · AggregatorPublished 8d agoLive · 7d ago
Researchers develop cost-efficient method for detecting hallucinations in large language models - Tech Xplore
Researchers develop cost-efficient method for detecting hallucinations in large language models Tech Xplore
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- PossiblePossibly related (embedding) · 68%Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models →
- PossiblePossibly related (embedding) · 63%Lost in Speech: Trilingual Spoken Hallucination Detection Across Audio and Transcripts →
- PossiblePossibly related (embedding) · 63%Do Large Language Models Hallucinate Electric Fata Morganas? →
- PossiblePossibly related (embedding) · 60%VisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMs →
- PossiblePossibly related (embedding) · 59%ReWEIGH the Evidence: Calibrating Token-Level Ordinal Visual Evidence to Mitigate Hallucinations in Large Vision-Language Models →
- PossiblePossibly related (embedding) · 50%From Tokens to Semantics: Leveraging Complementary Signals for Hallucination Detection in Black-Box LLMs →
- PossiblePossibly related (embedding) · 57%Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection →
- PossiblePossibly related (embedding) · 54%Two-Token Features and Small-Large Ensembles for VLM Hallucination Detection →
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paperOverview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language ModelspaperLost in Speech: Trilingual Spoken Hallucination Detection Across Audio and TranscriptspaperDo Large Language Models Hallucinate Electric Fata Morganas?paperVisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMspaperReWEIGH the Evidence: Calibrating Token-Level Ordinal Visual Evidence to Mitigate Hallucinations in Large Vision-Language Models
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Related across the graph
paperTwo-Token Features and Small-Large Ensembles for VLM Hallucination DetectionpaperReWEIGH the Evidence: Calibrating Token-Level Ordinal Visual Evidence to Mitigate Hallucinations in Large Vision-Language ModelspaperLeveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination DetectionpaperOverview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language ModelspaperVisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMspaperFrom Tokens to Semantics: Leveraging Complementary Signals for Hallucination Detection in Black-Box LLMspaperDo Large Language Models Hallucinate Electric Fata Morganas?paperLost in Speech: Trilingual Spoken Hallucination Detection Across Audio and Transcripts