The Archive

NeuralActuator: neural model capturing low-cost servo nonlinearities (friction, hysteresis, backlash) for improved sim-to-real robot control.

Deep RL scheduler for flexible job-shop with time-lag constraints in modular construction, 67% makespan inflation from curing delays.

LLM-based temporal career trajectory extraction from resumes for workforce planning and job recommendation at scale.

Active learning approach for offline-to-online RL that selects informative online interactions to maximize fine-tuning performance in nonstationary domains.

JobHop v2 dataset: 440k multilingual resumes with LLM-extracted career trajectories for workforce planning and job recommendation research.

CatRetriever uses contrastive learning to map catalyst surface structures to bulk materials for improved generative catalyst discovery.

Explainable agentic system detects sophisticated multi-week conversational scams using summary-based memory; introduces ConScamBench-278 benchmark.

VoxENES 2026: 53.6k bilingual audio samples benchmarking speech spoofing detectors against modern LLM-era TTS and voice conversion systems.

Claude users in India are starting to see Indian rupee-denominated subscription plans.

Study compares production vs. perception asymmetry in Llama-3.1-8B via token probability analysis, finding LLMs lack functional production-perception distinction.

Q2SAR applies quantum multiple kernel learning to QSAR modeling for improved prediction of compound toxicity and bioavailability in drug discovery.

Automated red-teaming system discovers reusable vulnerability patterns in production LLM agents (Claude Code, Codex) operating on untrusted content.

Hourglass reasoning enforces structural isolation between induction stages in LLMs, using compressed symbolic state to improve few-shot reasoning.

Roadmap for World Action Models (WAMs) connecting interventions to consequences; standardizes action spaces, datasets, and interfaces for embodied physical intelligence.

Camera-only ground vehicle recovery using visual odometry for line-following robots in warehouses.

Contextual bandit algorithm combining multinomial logit choice models with submodular diversity objectives.

RAGU: open-source modular GraphRAG system with two-stage extraction and compact domain-adapted LLM for knowledge graph construction.

Graph neural network with multi-scale features for accelerating fluid dynamics simulations in complex geometries.

Dataset and task for modeling semantic drift of compositionality in German and English noun compounds over decades.

Geometric Dimensionality Regularization (GeomDR) controls grokking timing by leveraging representation collapse as predictive signal.

"Context bombing" tricks hacking agents into shutting down before they can do harm.

NITROGEN: imputation-free transformer for Alzheimer's disease prediction from heterogeneous clinical data with uncertainty quantification.

Anytime-valid auditing framework for monitoring calibration of conditional quantile forecasters in data streams.

802.1X and RADIUS-based access control architecture for automated anomaly-driven revocation in IoT networks.

Across science, engineering, and finance, many of the most important risks come from low-likelihood, high-impact events. Estimating the probability of these... Across science, engineering, and finance, many of the most important risks come from low-likelihood, high-impact events. Estimating the probability of these events with brute-force Monte Carlo sampling—running a model repeatedly with randomly drawn inputs to estimate the probability of rare outcomes—can require an excessive volume of model iterations, especially when each sample comes from an… Source

Xiaomi-Robotics-U0: 38B multimodal autoregressive model for embodied synthesis leveraging foundation models with world physics.

Theoretical analysis of sampling-allocation limits in best-arm identification under fixed budgets.

LLMs parameterize cumulative prospect theory for modeling human route-choice biases at scale.

SKooP combines Koopman autoencoder with morphological symmetries to improve RL sample efficiency for legged robot locomotion.

LLaVA perturbations reproduce aphasic picture-naming error patterns, validating multimodal models as clinical simulation tools.