Author

Heejun Lee

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#artificial intelligence Feb 2026

GFlowPO: Generative Flow Network as a Language Model Prompt Optimizer

This work proposes GFlowPO, a probabilistic prompt optimization framework that casts prompt search as a posterior inference problem over latent prompts regularized by a meta-prompted reference-LM prior and consistently outperforms recent discrete prompt optimization baselines.

Junmo Cho, Suhan Kim, Sangjune An et al. · arXiv.org · 0 citations

#artificial intelligence Review Jan 2026

TS-Debate: Multimodal Collaborative Debate for Zero-Shot Time Series Reasoning

Across 20 tasks from three public benchmarks, TS-Debate improves classification and question answering performance over strong baselines, while revealing that debate is most useful for global-structure and cross-view reasoning rather than local value reconstruction.

Patara Trirat, Jin Myung Kwak, Jay Heo et al. · arXiv.org · 1 citation