Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence Paper • 2511.07384 • Published 27 days ago • 16
smcleish/Recurrent-TinyLlama-3T-train-recurrence-16 Text Generation • 0.8B • Updated 26 days ago • 46 • 1
smcleish/Recurrent-TinyLlama-3T-train-recurrence-32 Text Generation • 0.8B • Updated 26 days ago • 43 • 1
smcleish/Recurrent-OLMo-2-0425-train-recurrence-4 Text Generation • 1B • Updated 26 days ago • 52 • 1
smcleish/Recurrent-OLMo-2-0425-train-recurrence-32 Text Generation • 1B • Updated 26 days ago • 53 • 2
Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models Paper • 2510.14961 • Published Oct 16 • 7
Efficient Parallel Samplers for Recurrent-Depth Models and Their Connection to Diffusion Language Models Paper • 2510.14961 • Published Oct 16 • 7 • 2
Training Dynamics Impact Post-Training Quantization Robustness Paper • 2510.06213 • Published Oct 7 • 3
Training Dynamics Impact Post-Training Quantization Robustness Paper • 2510.06213 • Published Oct 7 • 3 • 2
Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLM Paper • 2509.18058 • Published Sep 22 • 12
Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLM Paper • 2509.18058 • Published Sep 22 • 12
Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLM Paper • 2509.18058 • Published Sep 22 • 12 • 2
FAST: Factorizable Attention for Speeding up Transformers Paper • 2402.07901 • Published Feb 12, 2024 • 3
DynaGuard: A Dynamic Guardrail Model With User-Defined Policies Paper • 2509.02563 • Published Sep 2 • 20