A controlled two-player AUT platform shows GPT-4 and human partners yield equivalent originality, with BAS Drive moderating partnership benefits and creative-seeding improving subsequent output.
Title resolution pending
4 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.
4
Pith papers citing it
1
external citations · external index
citation-role summary
other 1
citation-polarity summary
roles
other 1polarities
unclear 1representative citing papers
LLM translations introduce model-specific statistically significant emotional fingerprints that limit preservation of author voice, with post-editing providing partial alignment to human norms.
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
Empirical study of DAO forums finds frequent misalignment between token holders' stated priorities and delegate voting, worsened by ranking-based delegation interfaces.
citing papers explorer
-
Two-player Alternate Uses Test: A Controlled Testbed for Interactive Human-AI and Human-Human Co-Creation
A controlled two-player AUT platform shows GPT-4 and human partners yield equivalent originality, with BAS Drive moderating partnership benefits and creative-seeding improving subsequent output.
-
Emotion Profiling in LLM-Based Literary Translation: Systematic Shifts Across MT and Post-Editing
LLM translations introduce model-specific statistically significant emotional fingerprints that limit preservation of author voice, with post-editing providing partial alignment to human norms.
-
The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
-
Fairness in Token Delegation: Mitigating Voting Power Concentration in DAOs
Empirical study of DAO forums finds frequent misalignment between token holders' stated priorities and delegate voting, worsened by ranking-based delegation interfaces.