Bo Chen

According to our database1, Bo Chen authored at least 11 papers between 2024 and 2025.

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

Timeline

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Links

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Bibliography

2025
Provable Failure of Language Models in Learning Majority Boolean Logic via Gradient Descent.
CoRR, April, 2025

Exploring the Limits of KV Cache Compression in Visual Autoregressive Transformers.
CoRR, March, 2025

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling.
CoRR, February, 2025

High-Order Matching for One-Step Shortcut Diffusion Models.
CoRR, February, 2025

NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

HSR-Enhanced Sparse Attention Acceleration.
Proceedings of the Conference on Parsimony and Learning, 2025

Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Numerical Pruning for Efficient Autoregressive Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Numerical Pruning for Efficient Autoregressive Models.
CoRR, 2024

Circuit Complexity Bounds for RoPE-based Transformer Architecture.
CoRR, 2024


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