The Archive

Game-theoretic analysis of Bayesian updating and exponential-weights regret as emergent properties of a two-player zero-sum repeated game with information constraints.

Two large-scale surveys (N≈2,800 each) reveal asymmetric user acceptance of autonomous LLM agents in dating platforms: users accept delegation and reception differently.

HLSR selective vehicle rerouting framework combines live speeds with short-horizon forecasts under intervention constraints for urban congestion avoidance.

Primitive-based unsupervised framework for dynamic contrast-enhanced MRI reconstruction disentangles anatomy, contrast, and motion into separate temporal basis functions.

StagedWorkspace versioned workspace system for knowledge-work agents ensures all parsed views, edits, and artifacts reference consistent workspace-state contracts.

Theoretical linguistics: language has two semantic parameters—amplitude (co-occurrence strength) and phase (how coactivated meanings combine)—not captured by embeddings alone.

Bayesian optimization applied to diffusion model sampling timestep selection to reduce inference cost.

MRI reconstruction technique using magnitude-only and complex-valued measurements with learned priors.

Small language models for invoice GL categorization analyzed via embedding geometry for interpretability and cost reduction.

Chain-of-Experience framework enabling LLMs to improve through test-time iterative feedback and self-interaction.

TabNSM: sparse-attention architecture for high-dimensional tabular regression with adaptive feature interaction.

Jane Street has installed Etched's first shipped AI cluster system, and was so impressed, it led another massive round, the startup says.

Analysis of why GPT-style tokenization fails for symbolic music: compression requires domain-specific coordinate systems.

Reproduction and sensitivity analysis of WEASEL 2.0 time series classifier with empirical evaluation of hyperparameter rules.

LLM-based framework for explaining flight safety events from pilot behavior, addressing modal inconsistency challenges.

IOL-AI Challenge: open competition on linguistic reasoning (unseen IOL 2026 problems) with expert human evaluation.

Theoretical framework for LLM reward shaping in hybrid RL agents using bounded potential functions preserving optimal policy.

Flow-matching energy-based models enable physics-informed generative modeling of PDE fields with composable energies for OOD detection and inversion.

Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications... Uniform Manifold Approximation and Projection (UMAP) is a dimensionality reduction technique widely used for visualization and feature extraction. Applications range across exploratory data analysis, topic modeling, and single-cell analysis. Many of these workflows are iterative and exploratory, requiring UMAP to be run repeatedly as users analyze their data or tune parameters. As datasets grow… Source

Traceable Trust framework proposes structured assessment process for AI-driven laboratory decision-making in bioscience to ensure reproducibility and accountability.

LLM-as-judge framework with abstention mechanism and provable risk bounds improves reliability on factual tasks via uncertainty quantification and retrieval.

TSN4PI framework tracks political ideology evolution on social media using LLMs with style transfer and unsupervised domain adaptation to address annotation scarcity.

Source-free domain adaptation for ultrasound tongue segmentation under extreme data scarcity using pseudo-label refinement and reliability filtering.

Recirculation inference-time technique adds learned recurrence to transformers enabling stateful belief tracking, reducing perplexity with minimal latency overhead.

AVShift benchmark evaluates authorship verification robustness across genre, temporal, and AI-assisted writing distribution shifts in German text (150K+ examples).

Comparative study of ML and deep learning crop-yield forecasting methods under extreme drought conditions using 16 meteorological drivers.

LM-based log anomaly detectors show miscalibrated confidence on anomalous events; calibration techniques fail to capture prediction reliability under class imbalance.

Apple’s leaked camera-equipped AirPods might avoid the privacy pitfalls of other AI wearables by preventing users from recording photos and videos.

Neurosymbolic world model decouples reward prediction from structured symbolic latent state components, enabling zero-shot transfer across RL tasks.

Self-supervised pre-training on single tabular datasets yields strong transfer learning for foundation models without massive synthetic corpora.