most citedSimCE: Simplifying Cross-Entropy Loss for Collaborative Filtering

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

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cs.CL2025

Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning

Yimeng Zhang, Tian Wang, Jiri Gesi +14

Large Language Models (LLMs) have recently demonstrated strong potential in generating 'believable human-like' behavior in web environments. Prior work has explored augmenting trai…

cs.CL2025

COPU: Conformal Prediction for Uncertainty Quantification in Natural Language Generation

Sean Wang, Yicheng Jiang, Yuxin Tang +2

Uncertainty Quantification (UQ) for Natural Language Generation (NLG) is crucial for assessing the performance of Large Language Models (LLMs), as it reveals confidence in predicti…