The Archive

RL for code optimization via learnable execution time rewards and DMC-Optim framework to overcome measurement noise and sparsity.

Quasi-SVD: GPU-parallelized differentiable matrix factorization with Lie-constrained orthogonality for real-time medical imaging.

PRISM-AH: multimodal framework for detecting ambivalence/hesitancy in health behavior video via cross-modal conflict reasoning.

Kontra: taxonomy and detection framework for cross-modal knowledge inconsistencies in Wikipedia, Wikidata text/tables/KGs.

Solver-guided LLM framework for instance-wise operations research formulation selection in multi-warehouse inventory allocation.

Polistemics: theory-grounded benchmark for evaluating LLMs as political information mediators via epistemic modesty standard.

MODUS: decoder-only any-to-any multimodal model supporting arbitrary modality combinations with pre-trained model priors.

ClinPRISM: cost-effective multimodal LLM for QA over irregular clinical time series via sparsity-aware encoding.

Professor uses prompt manipulation to detect student AI cheating, confirming predictable human behavior patterns.

ClinMM-Bench evaluates multimodal LLMs on multi-turn clinical diagnosis with progressive information disclosure, mirroring real-world diagnostic reasoning.

Empirical evaluation of flow matching, DDPM, score-SDE, and VAE on non-stationary Gaussian random fields to assess whether DGMs capture underlying spatial processes.

Survey of face de-identification techniques spanning post-capture processing and capture-time privacy preservation for computer vision tasks.

Extension of dtControl2 decision tree tool with epsilon-bounded optimality tradeoff for explainable MDP policy representation in large state spaces.

Benchmark of six VLMs (Gemini, GPT-4V, Qwen, Gemma, Llama, Ministral) on zero-shot anomaly detection for game geometry clipping in agent-driven QA.

Penelope framework localizes latent recurrent computation to decoder intervals for efficient structured reasoning without extending autoregressive chain-of-thought output.

AgentToolMO proposes 3GPP NRM information model for cross-vendor AI agent tool trust management with graduated enforcement and cascade propagation bounds.

Vision-Language-Action model framework using SAM3D as frozen 3D teacher to align fine-grained object representations for robotic manipulation under occlusion.

AnnoBench introduces evaluation framework for visualization annotation generation systems balancing visual, semantic, and stylistic constraint satisfaction.

Input-only prompt optimization suppresses evaluation-awareness latents in LLMs via GCG-style token search, threatening safety evaluation validity if undetected.

Interactive Reward Agent uses environment-state verification to evaluate GUI task completion, enabling reliable reward signals for agentic scaling.

Google ships Gemini API Managed Agents with Gemini 3.6 Flash and tool-use hooks for production agent deployment.

HiFi-UMI demonstrates scalable high-fidelity robot manipulation learning without real-robot anchoring by upgrading teleoperation capture quality.

Messier consolidates 957K evaluation records across 30 benchmarks and 714 agents to enable comparable cross-benchmark agent assessment.

Custom harness engineering distributes security controls for AI coding agents without vendor lock-in, enabling organizational scaling.

Speech dynamics using Lyapunov exponents and Sample Entropy identify depression biomarkers in vocal articulatory patterns.

Domain adaptation via DANN and CDAN improves CNN/transformer robustness across acoustic scene classification device shifts.

RSIBench-Data isolates LLM agents' data-centric research capability in post-training loops, decoupling research from systems optimization.

ML-based gas lift optimization using Bayesian optimization delivers 5% production uplift in unconventional oil/gas wells.

Stemma maps LLM outputs to induced decision regions to test lineage provenance, abstracting surface-form variation for reliable model genealogy detection.