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Home/Authors/Xinyu Lin

Xinyu Lin

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Info Retrieval×2

Frequent co-authors

Rui Tian1×
Yi Fang1×
Yejin Hua1×
Du Wang1×
Yuzhe Wang1×
Minxuan Shan1×

Research Timeline

2026
When History Misleads: Asymmetric Margin Supervision for Instruction-Guided LLM Generative Recommendation

The paper proposes a new method, AIMS, to improve instruction-guided generative recommendation by converting the effect of removing individual history events into ranking supervision.

AutoRSE: Evaluating LLM Agents as Recommendation Engineers for Self-Evolving Recommender Systems

This paper introduces AutoRSE, an evaluation framework for Recommender Systems Engineer Agents (RSE-Agents) and conducts a large-scale study to understand their capabilities and limitations.

Highlighted terms show continued research focus across papers

Papers

cs.IREmpiricalRecentOct 27, 2026

AutoRSE: Evaluating LLM Agents as Recommendation Engineers for Self-Evolving Recommender Systems

Rui Tian, Yi Fang, Yejin Hua, Du Wang +7 more

This paper introduces AutoRSE, an evaluation framework for Recommender Systems Engineer Agents (RSE-Agents) and conducts a large-scale study to understand their capabilities and limitations.

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cs.IREmpiricalRecent
Oct 1, 2026

When History Misleads: Asymmetric Margin Supervision for Instruction-Guided LLM Generative Recommendation

Ming Yin, Yuhan Yang, Chen Chen, Xinyu Lin +9 more

The paper proposes a new method, AIMS, to improve instruction-guided generative recommendation by converting the effect of removing individual history events into ranking supervision.

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