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2103.15025
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On Hallucination and Predictive Uncertainty in Conditional Language Generation
28 March 2021
Yijun Xiao
Wei Wang
HILM
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Papers citing
"On Hallucination and Predictive Uncertainty in Conditional Language Generation"
50 / 126 papers shown
Title
Interpretable Zero-shot Learning with Infinite Class Concepts
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Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
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18 Apr 2025
Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion
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09 Apr 2025
Hallucination Detection using Multi-View Attention Features
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06 Apr 2025
KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models
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Hongyu Sun
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25 Mar 2025
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
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L. Yu
Yeskendir Koishekenov
Yejin Bang
Anthony Hartshorn
Alan Schelten
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Nicola Cancedda
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Investigating Human-Aligned Large Language Model Uncertainty
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Plausibility Vaccine: Injecting LLM Knowledge for Event Plausibility
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Jonah Dauvet
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Uncertainty in Action: Confidence Elicitation in Embodied Agents
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13 Mar 2025
SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs
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Uncertainty-Aware Decoding with Minimum Bayes Risk
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07 Mar 2025
HalluCounter: Reference-free LLM Hallucination Detection in the Wild!
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HalCECE: A Framework for Explainable Hallucination Detection through Conceptual Counterfactuals in Image Captioning
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01 Mar 2025
Monte Carlo Temperature: a robust sampling strategy for LLM's uncertainty quantification methods
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Andrea Bacciu
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66
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Smoothing Out Hallucinations: Mitigating LLM Hallucination with Smoothed Knowledge Distillation
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Preventing Rogue Agents Improves Multi-Agent Collaboration
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Enhancing Hallucination Detection through Noise Injection
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Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts
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LLM Internal States Reveal Hallucination Risk Faced With a Query
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