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20242026
most citedUnveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms

1 citations · 2 across the 5 of their papers we have counts for

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cs.AI2026

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

Nirupam Chetlapalli, Yiming Liao, Min-Chun Chen +1

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…