TELLER : A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Computer Science

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Large Language Mode... Computer Science
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Procedure Computer Science
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Detection Computer Science
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Model Computer Science
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Decision-Making Computer Science
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Domain Computer Science
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Identification Computer Science
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Generalization Abil... Computer Science
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Evaluation Result Computer Science
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Academia Computer Science
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Generalizability Computer Science
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Computational Lingu... Computer Science
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Reasoning Process Computer Science
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Deep Learning Metho... Computer Science

Keyphrases

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Decision System Keyphrases
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Cognition Systems Keyphrases
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Fake News Keyphrases
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Fake News Detection Keyphrases
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Large Language Mode... Keyphrases
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Generalization Abil... Keyphrases
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Trustworthiness Keyphrases
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Decision-making Pro... Keyphrases
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Evaluation Results Keyphrases
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Logic Rules Keyphrases
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Human Expertise Keyphrases
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Comprehensive Evalu... Keyphrases
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Societal Issues Keyphrases
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Deep Learning Keyphrases
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Computational Lingu... Keyphrases
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Inherent Risk Keyphrases
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Reasoning Process Keyphrases
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Poor Generalization Keyphrases
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Human-readable Keyphrases
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Explainability Keyphrases
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Dual System Framewo... Keyphrases
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Logical Predicates Keyphrases

INIS

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detection INIS
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atoms INIS
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humans INIS
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learning INIS
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decision making INIS
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implementation INIS
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evaluation INIS
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industry INIS
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reliability INIS
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risks INIS
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transparency INIS
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proliferation INIS
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datasets INIS
Research OutputsResearch Output authored by TELLER is tagged with the concept