Search Results for author: Caishun Chen

Found 4 papers, 1 papers with code

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation

1 code implementation2 Apr 2024 Shanshan Feng, Haoming Lyu, Caishun Chen, Yew-Soon Ong

However, the generalization abilities of LLMs still are unexplored to address the next POI recommendations, where users' geographical movement patterns should be extracted.

Zero-shot Generalization

Precise-Physics Driven Text-to-3D Generation

no code implementations19 Mar 2024 Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong

However, existing generative methods mostly focus on geometric or visual plausibility while ignoring precise physics perception for the generated 3D shapes.

3D Generation Text to 3D

Large Language Models as Evolutionary Optimizers

no code implementations29 Oct 2023 Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong

Specifically, in each generation of the evolutionary search, LMEA instructs the LLM to select parent solutions from current population, and perform crossover and mutation to generate offspring solutions.

Combinatorial Optimization Evolutionary Algorithms

Prompt Evolution for Generative AI: A Classifier-Guided Approach

no code implementations24 May 2023 Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh K. Bali, Caishun Chen

Synthesis of digital artifacts conditioned on user prompts has become an important paradigm facilitating an explosion of use cases with generative AI.

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