Jiayi Liao

Orcid: 0009-0004-3089-5172

According to our database1, Jiayi Liao authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time Scaling.
CoRR, February, 2026

Enhancing exchange rate forecasting with multi-scale residual LSTM and dual-task learning: An interpretable framework with SHAP analysis.
Expert Syst. Appl., 2026

Interpretable Reward Model via Sparse Autoencoder.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation.
CoRR, January, 2025

Annotation-free method for breast tumour segmentation in dynamic contrast-enhanced MRI.
Biomed. Signal Process. Control., 2025

Multi-Grained Patch Training for Efficient LLM-based Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

2024
Existence of positive solutions for second-order differential equations with two-point boundary value problems involving p-Laplacian.
J. Appl. Math. Comput., April, 2024

More Expressive Attention with Negative Weights.
CoRR, 2024

RosePO: Aligning LLM-based Recommenders with Human Values.
CoRR, 2024

LLaRA: Large Language-Recommendation Assistant.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Text-to-Image Generation for Abstract Concepts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Research on the Measurement of Central Bank Communication Index and its Impact on the Macroeconomy.
J. Adv. Comput. Intell. Intell. Informatics, September, 2023

LLaRA: Aligning Large Language Models with Sequential Recommenders.
CoRR, 2023

Concept Understanding in Large Language Models: An Empirical Study.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023


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