inference-time

awesome-LLM-controlled-constrained-generation

RLG: Inference-Time Alignment Control for Diffusion Models with Reinforcement Learning Guidance

[ICML 2026] Context-Robust Remasking for Diffusion Language Models

EAGer: Entropy-Aware GEneRation for Adaptive Inference-Time Scaling

Hands-on tutorials on training-free alignment of language models at inference time.

Official implementation of SEER: a self-grounded evidence interface for controlled spatial relation classification.

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.

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.

BALM: Bias-Aware Language Model with inference-time bias detection and correction.

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.

TACT: signed, label-free confidence weighting for self-consistency voting — with the thin-window boundary (2.5–7.5% of items) that explains why six other designs died