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Model Releases

AI Research Preference Models

DGX agent

arXiv:2608.13940v1 Announce Type: new Abstract: AI research agents (AIRA) can now propose, implement, and evaluate their own machine learning experiments, but progress on frontier tasks is throttled b

model-releasesarxiv-cs-ai

17 Aug 2026

Model Releases

Approximate Muon with low-rank adapters

DGX agent

arXiv:2608.14492v1 Announce Type: new Abstract: The Muon optimizer shows clear benefits versus alternatives when pretraining neural networks. However, it is used less frequently for parameter-efficien

Search: “papers”

AI Research Preference Models

Approximate Muon with low-rank adapters

Architecture and Affordances of PLAUD: Performative Latents and Unsupervised DDSP

Benchmarking data-driven material models on the classic Treloar dataset

Capacity-Dependent Effects of Data Selection for Reasoning

Content Depth Matters in Short-Video Recommendation: Rethinking the Attention Economy

CORAL: Curriculum-Optimized Reward Adaptation for LiDAR-Based Goal-Directed Urban Driving

Cross-Disciplinary Taxonomy and Modeling of Misunderstanding Generation, Amplification, and Detection, from Pragmatics to AI Agents

Deep Vision in Smart Manufacturing: MODERN Framework for Intelligent Quality Monitoring and Diagnosis

Depth-Aware Sensitivity Analysis of Mixture-of-Experts Models via Magnitude-Based Expert Masking

Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View

Does a Language Server Save Tokens for Coding Agents? A Measurement Methodology and Preliminary Study

Doomed to Re-Annotate, Forever: The ImageNet Story

E-S2Feat:Semantic-Guided Spiking Local Feature Detection and Description for Event Cameras

Face Re-morphing: Differential Morphing Attack Detection via Feature-Space Similarity Changes

Fashion Outfit Generation via Unified Sequential Composition Models

Fast Implicit Neural Light Field Representation via Geometric Decomposition and Multi-Resolution Low-Rank Features

Federated Prompt Learning: A Unified Framework, Empirical Analysis, and Future Directions

From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent

Grounding Without Corrective Control: Truth-Tracking Profiles for Large Language Models

HAM-RAG: Hierarchy-Aware Multimodal RAG for Structure-Faithful Interleaved Generation

hint^2: Hierarchical World Models for Inference-Time Temporal Logic Guidance

Joint Optimization of Memory and Computing Frequency for Energy-Efficient DNN Inference

Language-Specific Gaps in AI Safety Training Datasets

Learning to Run Power Networks: Effective AlphaZero-inspired Topological Control

Learning-to-Transition for Large-scale and High-Order MIMO Detection

LightTeaNet: A Weakly Supervised Lightweight CNN for Multi-Label Tea Leaf Disease Detection and Localization

Local and Global Regimes of Geometric Complexity in Language Model Representations

LP-NAS: Linear Programming-based Neural Architecture Search

Mind the Long Tail: Understanding the Difficulty of Delay Detection in Business Processes

No Universal Signal Predicts Sample-Level LLM Regression under Version Updates

OCOO-T : A Simple and Scalable Virtual Cell Model for Transcriptional Perturbation Response Prediction

On the Brittleness of Maximum Likelihood Estimation for Gaussian Process Hyperparameter Optimization

Ontology-Grounded Project Memory for Coding Agents

Optimal Scheduling of Road Maintenance Jobs Considering Impact on Traffic Flows

P2Skill: Privacy Preserving Skill Distillation for Cloud-Local LLM Inference Systems

QuaSAR: Quantization Compensation via Stable Activation-Aware Rank Truncation

RankT2I: A Submodular Framework for Discovering Interpretable and Diverse Semantics in Text-to-Image Models

Recent Advances in Deep Learning-Based Drug-Target Binding Affinity Prediction

Reinforcement Learning-Based Production Scheduling in an Industry-Based Coating Scenario Using the Digital Model Playground

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation

RGBX-Next: Towards Realistic Generative Rendering from G-Buffers

RL-Index: Reinforcement Learning for Retrieval Index Reasoning

Robust XGBoosting for Regression

Simulation-Aware In-Context Policy Improvement for LLM-Aided Analog Layout Refinement

Spatiotemporal Tube-Based Safety-Certificate for Autonomous Navigation of Articulated Vehicles

Structure-Guided Spatiotemporal Attention Graph Neural Network for Traffic Flow Prediction

TRIAGE: Risk-Controlled Pseudo-Label Admission for Annotation-Efficient Semi-Supervised Retinal OCT Classification