SPOT: Span-level Pause-of-Thought for Efficient and Interpretable Latent Reasoning in Large Language Models

Documenti analoghi

• RouteGoT: Node-Adaptive Routing for Cost-Efficient Graph of Thoughts Reasoning
  di: Liu, Yuhang, et al.
  Pubblicazione: (2026)
• LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs
  di: Hao, Bing, et al.
  Pubblicazione: (2025)
• CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models
  di: Lee, Yukyung, et al.
  Pubblicazione: (2026)
• SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning
  di: Hu, Chenzhi, et al.
  Pubblicazione: (2026)
• Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization
  di: Chu, Yunlong, et al.
  Pubblicazione: (2025)