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 51–75 of 161 papers

TitleStatusHype
Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective DistractorsCode0
Reliability Check: An Analysis of GPT-3's Response to Sensitive Topics and Prompt WordingCode0
When big data actually are low-rank, or entrywise approximation of certain function-generated matricesCode0
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice QuestionsCode0
Classifier-Free Guidance is a Predictor-Corrector—0
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability—0
Clarifying System 1 & 2 through the Common Model of Cognition—0
Emergent Abilities in Large Language Models: A Survey—0
Clarifying Misconceptions in COVID-19 Vaccine Sentiment and Stance Analysis and Their Implications for Vaccine Hesitancy Mitigation: A Systematic Review—0
Dynamics and triggers of misinformation on vaccines—0
Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias—0
Automatic Generation of Question Hints for Mathematics Problems using Large Language Models in Educational Technology—0
Analyzing Factors Influencing Driver Willingness to Accept Advanced Driver Assistance Systems—0
Distortions in Judged Spatial Relations in Large Language Models—0
Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation—0
Disproving XAI Myths with Formal Methods -- Initial Results—0
Discounted Reinforcement Learning Is Not an Optimization Problem—0
Characterizing Information Seeking Events in Health-Related Social Discourse—0
Differential contributions of machine learning and statistical analysis to language and cognitive sciences—0
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge—0
Challenges and Trends in User Trust Discourse in AI—0
Developer Perspectives on Licensing and Copyright Issues Arising from Generative AI for Software Development—0
A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product—0
A Graphical Approach to State Variable Selection in Off-policy Learning—0
A clarification of misconceptions, myths and desired status of artificial intelligence—0
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