awesome-LLM-controlled-constrained-generation
RLG: Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance
EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling
Context-Robust Remasking for Diffusion Language Models
BALM: Bias-Aware Language Model with inference-time bias detection and correction.
LAteNT v2 — A 9-agent neuro-symbolic manifold for zero-shot abstraction. This system replaces hardcoded DSLs with a 64-dimensional Latent Transformation Space, implementing autonomous Bayesian Meta-Learning and online dictionary learning to discover causal laws purely from observation. Pure Inductive Intelligence.
A comparative study of Faster R-CNN and YOLOv5 on Pascal VOC 2012, analyzing mAP, speed, and detection quality to understand the trade-offs between accuracy and real-time performance in object detection models.
Experimental local assistant runtime for GGUF models that steers token generation with activation perturbations and verbal control loops for self-correction, continuity, and future memory-driven support.
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