Keqin Bao

Orcid: 0009-0001-5910-0204

According to our database1, Keqin Bao authored at least 20 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning.
CoRR, 2024

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation.
CoRR, 2024

FLOW: A Feedback LOop FrameWork for Simultaneously Enhancing Recommendation and User Agents.
CoRR, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation.
CoRR, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.
CoRR, 2024

Prospect Personalized Recommendation on Large Language Model-based Agent Platform.
CoRR, 2024

Large Language Models for Recommendation: Progresses and Future Directions.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Item-side Fairness of Large Language Model-based Recommendation System.
Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models for Recommendation: Past, Present, and Future.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation.
CoRR, 2023

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems.
CoRR, 2023

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors.
CoRR, 2023

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task.
CoRR, 2022

Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task.
Proceedings of the Seventh Conference on Machine Translation, 2022

Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task.
Proceedings of the Seventh Conference on Machine Translation, 2022


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