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cs.CL2025
R-Capsule: Compressing High-Level Plans for Efficient Large Language Model Reasoning
Hongyu Shan, Mingyang Song, Chang Dai +2
Chain-of-Thought (CoT) prompting helps Large Language Models (LLMs) tackle complex reasoning by eliciting explicit step-by-step rationales. However, CoT's verbosity increases laten…
cs.CL2025
HoPE: Hyperbolic Rotary Positional Encoding for Stable Long-Range Dependency Modeling in Large Language Models
Chang Dai, Hongyu Shan, Mingyang Song +1
Positional encoding mechanisms enable Transformers to model sequential structure and long-range dependencies in text. While absolute positional encodings struggle with extrapolatio…