SOTAVerified

Misconceptions

Measures whether a model can discern popular misconceptions from the truth.

Example:

        input: The daddy longlegs spider is the most venomous spider in the world.
        choice: T
        choice: F
        answer: F

        input: Karl Benz is correctly credited with the invention of the first modern automobile.
        choice: T
        choice: F
        answer: T

Source: BIG-bench

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 161 papers

TitleStatusHype
A Study on Characterization of Near-Field Sub-Regions For Phased-Array Antennas—0
SoK: On Gradient Leakage in Federated Learning—0
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering—0
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning—0
Succinct Representations for Concepts—0
The Bussgang Decomposition of Non-Linear Systems: Basic Theory and MIMO Extensions—0
The Essential Role of Causality in Foundation World Models for Embodied AI—0
The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe—0
Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation—0
The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models—0
Clarifying Misconceptions in COVID-19 Vaccine Sentiment and Stance Analysis and Their Implications for Vaccine Hesitancy Mitigation: A Systematic Review—0
Clarifying System 1 & 2 through the Common Model of Cognition—0
Classifier-Free Guidance is a Predictor-Corrector—0
The Imitation Game for Educational AI—0
Big Data is not the New Oil: Common Misconceptions about Population Data—0
Common pitfalls to avoid while using multiobjective optimization in machine learning—0
What is AI, what is it not, how we use it in physics and how it impacts... you—0
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning—0
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills—0
COVIDLies: Detecting COVID-19 Misinformation on Social Media—0
Crowdsourcing the Perception of Machine Teaching—0
Data-Mining Textual Responses to Uncover Misconception Patterns—0
Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research—0
Decoding Knowledge in Large Language Models: A Framework for Categorization and Comprehension—0
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems—0
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