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From the 1 of 23 linked papers with an AI index.

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20242026
most citedAlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment

1 citations · 1 across the 11 of their papers we have counts for

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cs.IR2026

Beyond Action Imitation: Learning a Decision-Aware User Simulator for Online Advertising

Zipeng Chen, Jiaer Zheng, Xiangyang Xu +15

The paper introduces DASH, a decision-aware user simulator that generates reasoning traces and predicts actions for online advertising by integrating heterogeneous cross-domain his…

cs.IR2026

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems

Xinyu Lin, Yashar Deldjoo, Sunhao Dai +7

The rapid integration of large language model-based agents into recommender systems has driven a shift from static, ranking-based pipelines toward autonomous and interactive system…

cs.IR2026

Verifiable Reasoning for LLM-based Generative Recommendation

Xinyu Lin, Hanqing Zeng, Hanchao Yu +8

Reasoning in Large Language Models (LLMs) has recently shown strong potential in enhancing generative recommendation through deep understanding of complex user preference. Existing…

cs.IR2026

RecoWorld: Building Simulated Environments for Agentic Recommender Systems

Fei Liu, Xinyu Lin, Hanchao Yu +12

We present RecoWorld, a blueprint for building simulated environments tailored to agentic recommender systems. Such environments give agents a proper training space where they can…

cs.IR2026

Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking

Xinyu Lin, Pengyuan Liu, Wenjie Wang +5

Generative Recommendation (GR) has become a promising end-to-end approach with high FLOPS utilization for resource-efficient recommendation. Despite the effectiveness, we show that…

cs.IR2025

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning

Wuqiang Zheng, Yiyan Xu, Xinyu Lin +3

With the rapid and continuous increase in academic publications, identifying high-quality research has become an increasingly pressing challenge. While recent methods leveraging La…