1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.IR2025
Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models
Tianrui Song, Wen-Shuo Chao, Hao Liu
Implicit feedback, employed in training recommender systems, unavoidably confronts noise due to factors such as misclicks and position bias. Previous studies have attempted to iden…
cs.AI2025
Bag of Tricks for Inference-time Computation of LLM Reasoning
Fan Liu, Wenshuo Chao, Naiqiang Tan +1
With the advancement of large language models (LLMs), solving complex reasoning tasks has gained increasing attention. Inference-time computation methods (e.g., Best-of-N, beam sea…
cs.IR2024★ 1 cited
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
Tianrui Song, Wenshuo Chao, Hao Liu
Implicit feedback, often used to build recommender systems, unavoidably confronts noise due to factors such as misclicks and position bias. Previous studies have attempted to allev…