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Model Releases

Deepseek V4 on AI Gateway

DGX agent

Vercel announced support for DeepSeek V4 model through its AI Gateway service, enabling developers to access this AI model alongside other supported models on the platform. This addition expands Verce

model-releasesvercel-blog

23 Apr 2026

Research

Degrees, Levels, and Profiles of Contextuality

DGX agent

arXiv:2603.26692v3 Announce Type: replace-cross Abstract: We introduce a new notion, that of a contextuality profile of a system of random variables. Rather than characterizing a system's contextualit

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Deepseek V4 on AI Gateway

Degrees, Levels, and Profiles of Contextuality

Depression Risk Assessment in Social Media via Large Language Models

Development and Preliminary Evaluation of a Domain-Specific Large Language Model for Tuberculosis Care in South Africa

DeVI: Physics-based Dexterous Human-Object Interaction via Synthetic Video Imitation

Device-Native Autonomous Agents for Privacy-Preserving Negotiations

Diagnosing CFG Interpretation in LLMs

Diagnosing Urban Street Vitality via a Visual-Semantic and Spatiotemporal Framework for Street-Level Economics

DialToM: A Theory of Mind Benchmark for Forecasting State-Driven Dialogue Trajectories

Differentiable Conformal Training for LLM Reasoning Factuality

Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation

DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format

DistortBench: Benchmarking Vision Language Models on Image Distortion Identification

Distributional Inverse Reinforcement Learning

Distributional Value Estimation Without Target Networks for Robust Quality-Diversity

Do Hallucination Neurons Generalize? Evidence from Cross-Domain Transfer in LLMs

Do not let Microsoft to steal your code for copilot training!

Do Small Language Models Know When They're Wrong? Confidence-Based Cascade Scoring for Educational Assessment

Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models

Do you want to know why LLMs feel sharp on surface semantics but hollow on the fine-grained stuff? “From Tokens to Thoughts: How LLMs and Hu…

Don't burn tokens on search. 📉🔥 Will Templeton, CTO and co-founder at Allspice, explains why they don't let LLMs search their 10,000+ ingr…

'don't retweet this, don't retweet this, don't retweet this...' ah fuck it, life imitates art.

DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data

DRIV-EX: Counterfactual Explanations for Driving LLMs

Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA

Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving

Dubious predictions that have yet to be fulfilled have given dubious people like Sam Altman and Elon Musk extraordinary power over society. …

Duluth at SemEval-2026 Task 6: DeBERTa with LLM-Augmented Data for Unmasking Political Question Evasions

DynamicRad: Content-Adaptive Sparse Attention for Long Video Diffusion

Early-Stage Product Line Validation Using LLMs: A Study on Semi-Formal Blueprint Analysis

Earth Day at #GoogleCloudNext, I’m demoing a Sustainability Agent at the @nvidia booth. Built with @Google ADK, @googlegemma, #nemotron, Clo…

Effects of Cross-lingual Evidence in Multilingual Medical Question Answering

Efficient INT8 Single-Image Super-Resolution via Deployment-Aware Quantization and Teacher-Guided Training

Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems

Efficient Symbolic Computations for Identifying Causal Effects

Efficient Test-Time Inference via Deterministic Exploration of Truncated Decoding Trees

Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models

Efficiently Closing Loops in LiDAR-Based SLAM Using Point Cloud Density Maps

Eight months early and under budget, the Roman Telescope is ready to launch

Elon Musk says Tesla plans to use Intel's 14A process technology to make chips at its Terafab project, which would make Tesla the first major customer for 14A (Reuters)

embers

EmbodiedMidtrain: Bridging the Gap between Vision-Language Models and Vision-Language-Action Models via Mid-training

Emergence Transformer: Dynamical Temporal Attention Matters

Energy-Based Open-Set Active Learning for Object Classification

Enhancing ASR Performance in the Medical Domain for Dravidian Languages

Enhancing Research Idea Generation through Combinatorial Innovation and Multi-Agent Iterative Search Strategies

Enhancing Speaker Verification with Whispered Speech via Post-Processing