Leiyu Pan

Orcid: 0009-0002-5304-0914

According to our database1, Leiyu Pan authored at least 18 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning.
CoRR, March, 2026

2025
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning.
CoRR, December, 2025

CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning.
CoRR, September, 2025

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization.
CoRR, August, 2025

Advancing Large Language Models for Tibetan with Curated Data and Continual Pre-Training.
CoRR, July, 2025

Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts.
CoRR, February, 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.
CoRR, February, 2025

Overcoming language barriers via machine translation with sparse Mixture-of-Experts fusion of large language models.
Inf. Process. Manag., 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
FEDS-ICL: Enhancing translation ability and efficiency of large language model by optimizing demonstration selection.
Inf. Process. Manag., 2024

Multilingual Large Language Models: A Systematic Survey.
CoRR, 2024

LANDeRMT: Detecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation.
CoRR, 2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Can Large Language Models Learn Translation Robustness from Noisy-Source In-context Demonstrations?
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Research on Fast Recognition Method for Robot Soccer Visual Images.
Proceedings of the International Conference on Computers, 2024

LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Is Robustness Transferable across Languages in Multilingual Neural Machine Translation?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023


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