The Archive

AGL-1 governance layer enforces authorization, audit, and agent constraints across distributed enterprise AI systems.

Two-stage retrieval system combining lightweight embeddings with expensive rankers for efficient candidate selection in similarity-based search.

AquaGen generates all-atom molecular configurations matching Boltzmann distributions faster than molecular dynamics simulations.

CAGE-1 benchmark evaluates enterprise agentic AI on authorization, policy compliance, tool safety, and memory validity in operational workflows.

Graph p-Laplacian solver for semi-supervised learning using continuation method to handle nonlinear energy minimization.

DeepSeek V3 and Kimi K2 perform structured reasoning over filler tokens with no visible output, revealing hidden computation interpretability challenges.

STRATOS framework bridges symbolic-numeric gap in Text-to-SQL querying for meteorological datasets via domain-specific engineering.

Comprehensive MI estimation benchmark suite using copula theory to evaluate estimators on high-dimensional, realistic distributions.

IVD-SSM state-space model for SemEval-2026 narrative similarity task isolating causal patterns without Transformer quadratic cost.

Multiple instance learning framework trains cancer pathology classifiers on patient-level labels without report-level annotations.

Controlled failure modes in language models trained with RL reveal distribution shift vulnerabilities and post-training generalization failures.

Clinical NLP task on TNM cancer staging using ClinicalBERT, BioBERT, and classical ML on TCGA pathology reports.

WorldBagel: unified multimodal framework for Vision-Language-Action-World modeling in robotic manipulation tasks.

ADP: adversarial dynamics priors for robust humanoid locomotion control via CoM and contact force regularization.

Best-of-Better-N: in-context learning method to improve inference-time LLM alignment via retrieved high-reward responses.

SkillOpt-Lite: minimal skill optimization pipeline for autonomous agents via zeroth-order optimization, grounded in Claude.

HiMe: hierarchical embodied memory framework decoupling Vision-Language-Action control into frequency-stratified executor and reasoning tiers.

TRIAGE: stage-aware evaluation framework for LLM-automated Graph-RAG systems, localizing failures in extraction and inference.

Continuous test-time training for LLM agents across multi-turn episodes, balancing adaptation with drift prevention.

Router-oracle gap decomposition: separating reproducible specialist advantage from single-draw label noise in LLM routing.

ASIG: fine-tuning LLMs for sequential information gathering via amortized Bayesian Experimental Design and information-gain rewards.

Human-in-the-loop framework learns individual causal models to personalize algorithmic recourse recommendations in high-stakes ML decisions.

Dynamic Security Control Compositor addresses compositional policy violations in multi-tool agent chains via Most Restrictive Set algorithm.

Resemble AI's DETECT-3B-Omni deepfake audio detector demonstrates demographic and content independence across 10K samples from 8 voice-cloning systems.

SemEval-2026 task entry using transformer ensembles and LLM annotations for dimensional aspect-based sentiment regression.

S-ICDF dataset provides Sionna-simulated RF interference data for ML-based jamming detection, classification, and direction finding.

CO-ALIGN mitigates bias in text-to-image diffusion via concept-graph alignment in text encoders and denoisers without semantic collapse.

End-to-end analytics framework extracts urban mobility and commercial insights from mobile location data for tourism and resource planning.

Simon Willison's June 2026 newsletter covers Claude Fable 5, GPT-5.6, GLM-5.2 open weights, and US export restrictions.

DP-Diffusion compresses high-dimensional data (images) with differential privacy guarantees via diffusion models and stochastic codes.