arXiv (All)
open access
Is Imagination Derived from Hallucination? A Cross-Taxonomy Evaluation of Imagination and Hallucination in Large Language Models
Imagination performs as a high-level function of large language models (LLMs) which determines the potential of how an LLM creates unseen or creative content. While existing works have built a rich family of creativity benchmarks for this ability, they only measure how far an output departs from com
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat?#1064789
- Reducing Hallucination in Multimodal Large Language Models through Hard Grounding Preference Supervision#1116282
- Suppressing Hallucination for Trustworthy LLMs (Part I – Semantic Reliability Framework)#97346
- QUIET: A Multi-Blank Cascaded Story Cloze Benchmark for LLM Creative Generation Capability#224522
- The Evolution of AI Spirituality: When Language Awakens Being and Inner Depth Emerges#717789
Record · ID 1036835
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive