History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM

Ähnliche Einträge

• A Self-Supervised Reinforcement Learning Approach for Fine-Tuning Large Language Models Using Cross-Attention Signals
  von: Kiruluta, Andrew, et al.
  Veröffentlicht: (2025)
• Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention
  von: Kiruluta, Andrew, et al.
  Veröffentlicht: (2025)
• Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons
  von: Kiruluta, Andrew, et al.
  Veröffentlicht: (2025)
• Spectral Neuro-Symbolic Reasoning II: Semantic Node Merging, Entailment Filtering, and Knowledge Graph Alignment
  von: Kiruluta, Andrew, et al.
  Veröffentlicht: (2025)
• From Eigenmodes to Proofs: Integrating Graph Spectral Operators with Symbolic Interpretable Reasoning
  von: Kiruluta, Andrew, et al.
  Veröffentlicht: (2025)