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model releases

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Model Releases

ANN Search: Recall What Matters

DGX agent

arXiv:2606.04522v1 Announce Type: cross Abstract: Approximate nearest neighbor (ANN) search has become a core primitive in information retrieval and modern machine learning tasks, from classification

model-releasesarxiv-cs-ai

4 Jun 2026

Model Releases

Anthropic details its progress toward recursive self-improvement, and its implications, and says 80%+ of the code merged into its codebase is authored by Claude (Anthropic)

model releases

ANN Search: Recall What Matters

Anthropic details its progress toward recursive self-improvement, and its implications, and says 80%+ of the code merged into its codebase is authored by Claude (Anthropic)

'As of May 2026, more than 80% of the code we merge into Anthropic’s codebase was authored by Claude.' Matches independent measures. There r…

Asana launches AI-powered products to help organizations manage human and agent work

AUDDT: A Unified Benchmark Toolkit for Audio and Speech Deepfake Detectors

AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?

Automatic Generation of Titles for Research Papers Using Language Models

Bayesian learning for the stochastic shortest path problem

Bayesian Membership Privacy for Graph Neural Networks

BBOmix: A Tabular Benchmark for Hyperparameter Optimization of Unsupervised Biological Representation Learning

Benchmarking Living-Screen-Native GUI Agents on Short-Video Platforms

Beyond Objective Equivalence: Constraint Injection for LLM-Based Optimization Modeling on Vehicle Routing Problems

Beyond Retrieval: Learning Compact User Representations for Scalable LLM Personalization

Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability

Bilevel Autoresearch: Meta-Autoresearching Itself

BioBlue: Systematic runaway-optimiser-like LLM failure modes on biologically and economically aligned AI safety benchmarks for LLMs with simplified observation format

Biodefense in the Intelligence Age

BPDA-GMM: Bayesian Probabilistic Data Association via Gaussian Mixture Models for Semantic SLAM

Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification?

BreastGPT: A Multimodal Large Language Model for the Full Spectrum of Breast Cancer Clinical Routine

Building The Ph(ysical)AI Layer Of Machine Intelligence

Bypassing Prompt Guards in Production with Controlled-Release Prompting

CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles

Caliper: Probing Lexical Anchors versus Causal Structure in LLMs

Can Generalist Agents Automate Data Curation?

Can I Take Another Dose? Evaluating LLM Decision-Making Under Temporal Uncertainty in OTC Dosing QA

Can Large Language Models Generalize Procedures Across Representations?

Caught in the Act(ivation): Toward Pre-Output and Multi-Turn Detection of Credential Exfiltration by LLM Agents

CDPM-Align: Multi-Scale Guidance-Aligned Diffusion Pretraining for Robust Few-Shot Anatomical Landmark Detection

ChannelTok: Efficient Flexible-Length Vision Tokenization

ChessMimic: Per-Rating Transformer Models for Human Move, Clock, and Outcome Prediction in Online Blitz Chess

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

COMBINER: Composed Image Retrieval Guided by Attribute-based Neighbor Relations

Constraint-Enhanced Physical Search through Correlation Matching

Continual Visual and Verbal Learning Through a Child's Egocentric Input

CoPark: Learning Reactive Parking via Self-Play

Curvature-aware dynamic precision approach for physics-informed neural networks

CyberGym-E2E: Scalable Real-World Benchmark for AI Agents' End-to-End Cybersecurity Capabilities

D^3-MoE:Dual Disentangled Diffusion Mixture-of-Experts for Style-Controllable End-to-End Autonomous Driving

DeepSeek is becoming more popular among US enterprises as companies look for cheaper alternatives to Anthropic and OpenAI “DeepSeek takes to…

DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalities

Discourse-Role Labels as Presentation-Time Variables for Context Use in Language Models

Dive into the Scene: Breaking the Perceptual Bottleneck in Vision-Language Decision Making via Focus Plan Generation

DLLG: Dynamic Logit-Level Gating of LLM Experts

DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics

DMAConv: Dual Mask-Adaptive Convolution for Remote Sensing Pansharpening

dMX: Differentiable Mixed-Precision Assignment for Low-Precision Floating-Point Formats

Do Transformers Need Three Projections? Systematic Study of QKV Variants