Publications of Liangze Jiang sorted by title
B
| Better Language Models Require Better Domain-Specific Inductive Biases, , , , and , in: Conference on Neural Information Processing Systems, 2026 |
C
| Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks, , , and , in: International Conference on Learning Representations, 2026 |
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| Can We Learn to Select the Right Algorithm for OOD Generalization?, and , in: Out Of Distribution Generalization in Computer Vision, Workshop at ECCV, 2024 |
| Can you learn to see without images? procedural warm-up for vision transformers, , , , and , in: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026 |
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D
| Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild, , , and , in: The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025 |
M
| Meta-RL Induces Exploration in Language Agents, , , , and , in: The Fourteenth International Conference on Learning Representations, 2026 |
| Meta-RL induces exploration in language agents, , , , and , in: International Conference on Learning Representations, 2026 |
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O
| OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?, and , in: Forty-Second International Conference on Machine Learning, 2025 |
P
| Procedural pretraining: Warming up language models with abstract data, , , , and , in: International Conference on Machine Learning, 2026 |
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T
| Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning, , , , and , in: ICML 2025 Workshop on Methods and Opportunities at Small Scale, 2025 |