Papers by Zhihao Teng
Parallel Continuous Chain-of-Thought with Jacobi Iteration (2025.emnlp-main)
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| Challenge: | Existing approaches to continuous CoT rely on sequential decoding of latent thought tokens, which leads to long training time and low inference speed. |
| Approach: | They propose a parallel continuous chain-of-thought which updates latent thought tokens iteratively in parallel instead of sequentially and improves both training and inference efficiency. |
| Outcome: | The proposed method saves 50% of training and inference time while maintaining stability and robustness in training. |