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2026 顶会论文

作者位次 #4/5SIGIR 2026Oral· Information Retrieval (Full)

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation

Ruijun Chen · Chongming Gao · Jiawei Chen · Weiqin Yang · Xiangnan He

摘要

Large Language Models have revolutionized recommender systems (LLM4Rec) by leveraging their generative capabilities to model complex user preferences. However, existing LLM4Rec methods primarily rely on token-level objectives, making it difficult to optimize list-level and non-differentiable metr...

对齐与偏好效率与系统检索与知识OpenReview

一作SIGIR 2026Oral· Information Retrieval (Full)

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models

Weiqin Yang · Bohao Wang · Zhenxiang Xu · Jiawei Chen · Shengjia Zhang · Jingbang Chen · Canghong Jin · Can Wang

摘要

Recent years have seen a rapid surge in research leveraging Large Language Models (LLMs) for recommendation. These methods typically employ supervised fine-tuning (SFT) to adapt LLMs to recommendation scenarios, and utilize beam search during inference to efficiently retrieve B top-ranked recomme...

效率与系统检索与知识代码OpenReview

一作KDD 2026Oral· Knowledge Discovery & Data Mining

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders

Weiqin Yang · Yue Pan · Chongming Gao · Sheng Zhou · Xiang Wang · Can Wang · Jiawei Chen

检索与知识社会与人本OpenReview

Weiqin Yang

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2026 顶会论文

Beyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders

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