Zhuofan Chen
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2026
DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation.
CoRR, May, 2026
Latent Variable Modeling for Controllable and Diverse Generation From Large Language Models.
IEEE Trans. Artif. Intell., February, 2026
From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Proc. VLDB Endow., December, 2025
Selecting text classification model through maximizing posterior evidence over informative sub-space.
Frontiers Comput. Sci., December, 2025
CME-CAD: Heterogeneous Collaborative Multi-Expert Reinforcement Learning for CAD Code Generation.
CoRR, December, 2025
The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation.
CoRR, December, 2025
CrowdTrack: A Benchmark for Difficult Multiple Pedestrian Tracking in Real Scenarios.
CoRR, July, 2025
PHT-CAD: Efficient CAD Parametric Primitive Analysis with Progressive Hierarchical Tuning.
CoRR, March, 2025
CReFT-CAD: Boosting Orthographic Projection Reasoning for CAD via Reinforcement Fine-Tuning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
2024
A Review of Data Mining in Personalized Education: Current Trends and Future Prospects.
CoRR, 2024
TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2024
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024