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Found 6 papers, 2 papers with code
Eureka: Neural Insight Learning for Knowledge Graph Reasoning
The human recognition system has presented the remarkable ability to effortlessly learn novel knowledge from only a few trigger events based on prior knowledge, which is called insight learning.
Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
In this study, we introduce a pluggable CTG framework for Large Language Models (LLMs) named Dynamic Attribute Graphs-based controlled text generation (DATG).
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
These techniques encompass the use of directed hallucination induction and strategies that deliberately alter authentic text to produce hallucinations.
BookGPT: A General Framework for Book Recommendation Empowered by Large Language Model
At the same time, based on different evaluation schemes for book recommendation tasks and the existing classic recommendation models, this paper discusses the advantages and disadvantages of the BookGPT in book recommendation scenarios and analyzes the opportunities and improvement directions for subsequent LLMs in these scenarios.
Understanding the drivers of sustainable land expansion using a patch-level simulation model: A case study in Wuhan, China
The change complexity lies in the detailed scale of high granularity data, and in the geometric units used to simulate the change.
Computers and Society
Simulating the future urban growth in Xiongan New Area: a upcoming big city in China
In addition, previous models are unable to simulate the urban dynamics in Xiongan New Area.
