Longhui Yu

According to our database1, Longhui Yu authored at least 18 papers between 2022 and 2025.

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Bibliography

2025
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning.
CoRR, April, 2025

Kimi-VL Technical Report.
CoRR, April, 2025

Kimi k1.5: Scaling Reinforcement Learning with LLMs.
CoRR, January, 2025

Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
<i>PatentAgent</i>: Intelligent Agent for Automated Pharmaceutical Patent Analysis.
CoRR, 2024

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Forward-Backward Reasoning in Large Language Models for Mathematical Verification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Continual Learning by Modeling Intra-Class Variation.
Trans. Mach. Learn. Res., 2023

Forward-Backward Reasoning in Large Language Models for Verification.
CoRR, 2023

ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.
CoRR, 2023

Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Style Expansion Without Forgetting for Handwritten Character Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Memory Replay with Data Compression for Continual Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022


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