Author

Yi-Ming Liao

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Preprint Aug 2026

Diverse by Reasoning: Harnessing the Wisdom of LLM Crowds for Future Prediction

Large language models (LLMs) are increasingly used for future prediction, motivating the use of multiple models as a wisdom-of-the-crowd mechanism. However, simply increasing crowd size does not guarantee effective diversity, as different LLMs may exhibit redundant behaviors. We propose a behavior-aware framework for c...

Nirupam Chetlapalli, Yi-Ming Liao, Min-Chun Chen et al. · 0 citations

#machine learning Preprint Sep 2026

LIGE-GR: A Smooth Leap from Ranking to Generative Recommendation in the LLM Era

Instead of rebuilding the entire recommendation stack from scratch, LIGE-GR generalizes the existing pointwise recommendation system into a listwise generation system, which allows mature recommender systems to benefit from listwise optimization while preserving compatibility with existing models, value functions, and...

Venkat Srinivas, Chen-Zhang He, Sam Woodmansee et al. · 0 citations