Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Zhipeng, Li, Junzhuo, Xia, Siyu, Hu, Xuming |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Layer-wise Representation Dynamics: An Empirical Investigation Across Embedders and Base LLMs
by: Jiang, Jingzhou, et al.
Published: (2026)
by: Jiang, Jingzhou, et al.
Published: (2026)
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
by: Zhang, Boxuan, et al.
Published: (2025)
by: Zhang, Boxuan, et al.
Published: (2025)
Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation
by: Li, Junzhuo, et al.
Published: (2025)
by: Li, Junzhuo, et al.
Published: (2025)
Dissecting Long-Chain-of-Thought Reasoning Models: An Empirical Study
by: Mu, Yongyu, et al.
Published: (2025)
by: Mu, Yongyu, et al.
Published: (2025)
Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods
by: Hu, Xinyang, et al.
Published: (2024)
by: Hu, Xinyang, et al.
Published: (2024)
Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis
by: Li, Junzhuo, et al.
Published: (2025)
by: Li, Junzhuo, et al.
Published: (2025)
Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models
by: Wang, Bo, et al.
Published: (2026)
by: Wang, Bo, et al.
Published: (2026)
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
Demystifying Long Chain-of-Thought Reasoning in LLMs
by: Yeo, Edward, et al.
Published: (2025)
by: Yeo, Edward, et al.
Published: (2025)
Understanding Chain-of-Thought in LLMs through Information Theory
by: Ton, Jean-Francois, et al.
Published: (2024)
by: Ton, Jean-Francois, et al.
Published: (2024)
A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs
by: Goel, Raghavv, et al.
Published: (2026)
by: Goel, Raghavv, et al.
Published: (2026)
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
by: Zhao, Chengshuai, et al.
Published: (2025)
by: Zhao, Chengshuai, et al.
Published: (2025)
Neural Bandit Based Optimal LLM Selection for a Pipeline of Subtasks
by: Atalar, Baran, et al.
Published: (2025)
by: Atalar, Baran, et al.
Published: (2025)
Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities
by: Zhang, Junyan, et al.
Published: (2025)
by: Zhang, Junyan, et al.
Published: (2025)
On the Effect of Uncertainty on Layer-wise Inference Dynamics
by: Kim, Sunwoo, et al.
Published: (2025)
by: Kim, Sunwoo, et al.
Published: (2025)
When More is Less: Understanding Chain-of-Thought Length in LLMs
by: Wu, Yuyang, et al.
Published: (2025)
by: Wu, Yuyang, et al.
Published: (2025)
Understanding Reasoning in Chain-of-Thought from the Hopfieldian View
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Are LLMs Ready for Conflict Monitoring? Empirical Evidence from West Africa
by: Muki, Hoffmann, et al.
Published: (2026)
by: Muki, Hoffmann, et al.
Published: (2026)
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models
by: Li, Zihao, et al.
Published: (2025)
by: Li, Zihao, et al.
Published: (2025)
SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
by: Hu, Chenzhi, et al.
Published: (2026)
by: Hu, Chenzhi, et al.
Published: (2026)
Bridging the Dimensional Chasm: Uncover Layer-wise Dimensional Reduction in Transformers through Token Correlation
by: Song, Zhuo-Yang, et al.
Published: (2025)
by: Song, Zhuo-Yang, et al.
Published: (2025)
Fractured Chain-of-Thought Reasoning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Understanding Hidden Computations in Chain-of-Thought Reasoning
by: Bharadwaj, Aryasomayajula Ram
Published: (2024)
by: Bharadwaj, Aryasomayajula Ram
Published: (2024)
Constraint-Rectified Training for Efficient Chain-of-Thought
by: Wu, Qinhang, et al.
Published: (2026)
by: Wu, Qinhang, et al.
Published: (2026)
Reliable Chain-of-Thought via Prefix Consistency
by: Iwase, Naoto, et al.
Published: (2026)
by: Iwase, Naoto, et al.
Published: (2026)
Rethinking Chain-of-Thought Reasoning for Videos
by: Zhong, Yiwu, et al.
Published: (2025)
by: Zhong, Yiwu, et al.
Published: (2025)
Latent Chain-of-Thought? Decoding the Depth-Recurrent Transformer
by: Lu, Wenquan, et al.
Published: (2025)
by: Lu, Wenquan, et al.
Published: (2025)
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
by: Zhu, Dawei, et al.
Published: (2023)
by: Zhu, Dawei, et al.
Published: (2023)
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)
by: Ye, Jiacheng, et al.
Published: (2024)
Multi-Stream LLMs: Unblocking Language Models with Parallel Streams of Thoughts, Inputs and Outputs
by: Su, Guinan, et al.
Published: (2026)
by: Su, Guinan, et al.
Published: (2026)
Iterative Layer-wise Distillation for Efficient Compression of Large Language Models
by: Kovalev, Grigory, et al.
Published: (2025)
by: Kovalev, Grigory, et al.
Published: (2025)
Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint Verbalization
by: Zaman, Kerem, et al.
Published: (2025)
by: Zaman, Kerem, et al.
Published: (2025)
Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment
by: Zhang, Yunfan, et al.
Published: (2025)
by: Zhang, Yunfan, et al.
Published: (2025)
Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning
by: Gu, Yu, et al.
Published: (2026)
by: Gu, Yu, et al.
Published: (2026)
HMPO: Hybrid Median-length Policy Optimization for Chain-of-Thought Compression
by: Zheng, Minghui, et al.
Published: (2026)
by: Zheng, Minghui, et al.
Published: (2026)
Crystal-KV: Efficient KV Cache Management for Chain-of-Thought LLMs via Answer-First Principle
by: Wang, Zihan, et al.
Published: (2026)
by: Wang, Zihan, et al.
Published: (2026)
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis
by: Li, Hongkang, et al.
Published: (2024)
by: Li, Hongkang, et al.
Published: (2024)
Growing Transformers: Modular Composition and Layer-wise Expansion on a Frozen Substrate
by: Bochkov, A.
Published: (2025)
by: Bochkov, A.
Published: (2025)
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
by: Bae, Sangmin, et al.
Published: (2024)
by: Bae, Sangmin, et al.
Published: (2024)
A Formal Comparison Between Chain of Thought and Latent Thought
by: Xu, Kevin, et al.
Published: (2025)
by: Xu, Kevin, et al.
Published: (2025)
Similar Items
-
Layer-wise Representation Dynamics: An Empirical Investigation Across Embedders and Base LLMs
by: Jiang, Jingzhou, et al.
Published: (2026) -
CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
by: Zhang, Boxuan, et al.
Published: (2025) -
Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation
by: Li, Junzhuo, et al.
Published: (2025) -
Dissecting Long-Chain-of-Thought Reasoning Models: An Empirical Study
by: Mu, Yongyu, et al.
Published: (2025) -
Unveiling the Statistical Foundations of Chain-of-Thought Prompting Methods
by: Hu, Xinyang, et al.
Published: (2024)