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.
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.
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.
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