Xiangyang Li

Orcid: 0000-0003-2862-0239

Affiliations:

Huawei, Noah's Ark Lab
Peking University, Department of Computer Science, MOE Key Laboratory of Computational Linguistics, Beijing, China (former)

According to our database¹, Xiangyang Li authored at least 39 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

CTRL: Connect Collaborative and Language Model for CTR Prediction.

[BibT_eX]

[DOI]

Trans. Recomm. Syst., June, 2026

Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing.

[BibT_eX]

[DOI]

CoRR, January, 2026

Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

ATGen: Adversarial Reinforcement Learning for Test Case Generation.

[BibT_eX]

[DOI]

CoRR, October, 2025

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., September, 2025

MTRec: Learning to Align with User Preferences via Mental Reward Models.

[BibT_eX]

[DOI]

CoRR, September, 2025

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?

[BibT_eX]

[DOI]

CoRR, June, 2025

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Survey of Personalization: From RAG to Agent.

[BibT_eX]

[DOI]

CoRR, April, 2025

How Can Recommender Systems Benefit from Large Language Models: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., March, 2025

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.

[BibT_eX]

[DOI]

CoRR, January, 2025

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Prompt Tuning as User Inherent Profile Inference Machine.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

CoRR, 2024

LIBER: Lifelong User Behavior Modeling Based on Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Prompt Tuning as User Inherent Profile Inference Machine.

[BibT_eX]

[DOI]

CoRR, 2024

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

[BibT_eX]

[DOI]

CoRR, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

LLM-enhanced Reranking in Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2024

CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control.

[BibT_eX]

[DOI]

CoRR, 2024

CELA: Cost-Efficient Language Model Alignment for CTR Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-view Content-aware Indexing for Long Document Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.

[BibT_eX]

[DOI]

CoRR, 2024

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

How Can Recommender Systems Benefit from Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

CTRL: Connect Tabular and Language Model for CTR Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Knowledge Enhanced Transformers System for Claim Stance Classification.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Exploring Text-Transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English.

[BibT_eX]

[DOI]

Proceedings of the Combating Online Hostile Posts in Regional Languages during Emergency Situation, 2021

Xiangyang Li

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...