3 citations · 7 across the 13 of their papers we have counts for
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cs.AI2026
Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization
Jiecong Wang, Hao Peng, Chunyang Liu +2
Chain-of-Thought (CoT) empowers Large Language Models (LLMs) to tackle complex problems, but remains constrained by the computational cost and early token commitments in discrete r…
cs.AI2024
Structural Entropy Guided Probabilistic Coding
Xiang Huang, Hao Peng, Li Sun +4
Probabilistic embeddings have several advantages over deterministic embeddings as they map each data point to a distribution, which better describes the uncertainty and complexity…
cs.AI2023★ 3 cited
Hierarchical State Abstraction Based on Structural Information Principles
Xianghua Zeng, Hao Peng, Angsheng Li +3
State abstraction optimizes decision-making by ignoring irrelevant environmental information in reinforcement learning with rich observations. Nevertheless, recent approaches focus…