127,664Total entries

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Agents

Agentic Large Language Models

DGX agent

arXiv:2610.13455v1 Announce Type: new Abstract: Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has

agentsarxiv-cs-ai

12 Oct 2026

Local Ai

Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

DGX agent

arXiv:2603.03753v2 Announce Type: replace-cross Abstract: The ongoing shift of Artificial Intelligence (AI) from centralized cloud application programming interfaces (APIs) to local inference on edge

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Agentic Large Language Models

Agentic Peer-to-Peer Networks: From Content Distribution to Capability and Action Sharing

AgentSWE: Can Coding Agents Build the Agent You Actually Want?

AgentTune: A Unified Training Lifecycle for Tool-Using LLM Agents

Agreement Without Alignment: Label-Free Rubric Clarification Increases LLM-Judge Consensus but Not Agreement with Humans

AI governance shifts to runtime as always-on agents spread

AI Image alignment solution for Qwen Image 2.1 Edits

AI-Mediation in Retail Markets: Revenue Effects and Assortment Optimization

AI Models Can Provably Hide Arbitrary Capabilities

Algebraic Integer Quantization for Machine Learning Applications

AlphaNIST: Emergent Assembly Skills from Binary Task Rewards

AMLworld-Compact: Importance-Weighted Downsampling for Cost-Effective LLM Evaluation and Error Diagnosis

Amortised Inference through One-Step Implicit Sampling

Amortized Counterfactual Prediction with Graph Neural Networks

An all-transistor physical-learning transformer can be trained to perform in-context learning

An Input-Dependent Readout Phase for Resonant Sequence Models

An interview with ex-DeepMind scientist David Silver on his startup Ineffable, building an AI 'super learner' using RL as an alternative path to LLMs, and more (Madhumita Murgia/Financial Times)

Anthropic researchers say small AI models may be months away from being able to self-replicate on IoT devices like smart ovens and off-brand Android TV boxes (Anthropic)

Anthropic says new measures like preserved thinking in Fable 5.1 and Opus 5.5 have reduced data harvesting through distillation attacks by about 90% to 99% (Anthropic)

APEX: Asynchronous Prefix Denoising for Extreme Compression

APEX-Harm: Evaluating Agent Safety in Shared Professional Workspaces

Approximation of differential entropy in Bayesian optimal experimental design

ARTIS: Agentic Risk-Aware Test-Time Scaling via Iterative Simulation

Asymptotic Analysis of Discrete-Time Self-Attention Dynamics in Transformers

At AI Engineer New York, Anthropic's @cjav_dev & @HarrisonStall from @ClaudeDevs drew on lessons from Unix and Linux to explain how agents c…

ATHLETE: Learning Reactive Humanoid Tennis via Trajectory-Guided Motion Matching

Attention Sees, MLP Refuses: Tracing the Attention-to-MLP Safety Pathway in LLMs

AudioTETRIS: Token Elimination via Transitional Importance Signals for Efficient Audio LLMs

Auditing Prompt Injection Defenses Before They Reach Users: What Strong Adversaries Reveal

AutoBio+: Benchmarking Dexterous Manipulation with Dynamic Experimental Phenomena in Realistic Laboratories

AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation

AutoIndexer: Flexible-Order Decoding by Training Causal Models on Chains of Edits

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b11576: graph: pad the KV dimension of the no-cache attention to 256 (#30416)

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Bandits with Anytime Knapsacks

Bayesian dynamic scheduling of multipurpose batch processes under incomplete look-ahead information