Ai Agents
Visa rolls out AI agent shopping infrastructure
submitted by /u/tekz [link] [comments]
Reddit - Artificial Intelligence
·
1 min
·
AI Agents
Autonomous agents, tool use, and agentic systems
Top This Week
Llms
I compiled every major AI agent security incident from 2024-2026 in one place - 90 incidents, all sourced, updated weekly
After tracking AI agent security incidents for the past year, I put together a single reference covering every major breach, vulnerabilit...
Reddit - Artificial Intelligence
·
1 min
·
Ai Agents
Compiler as a service for AI agents.
Hey, I have been experimenting with Roslyn-style compiler tooling on my Unity project, now well past 400k LOC. Honestly it changes the ga...
Reddit - Artificial Intelligence
·
1 min
·
All Content
![[2602.16307] Generative AI Usage of University Students: Navigating Between Education and Business](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
Generative Ai
[2602.16307] Generative AI Usage of University Students: Navigating Between Education and Business
This study explores the use of generative AI by university students balancing education and work, highlighting its benefits and challenges.
arXiv - AI
·
3 min
·
Llms
[2602.16131] Empirical Cumulative Distribution Function Clustering for LLM-based Agent System Analysis
This article presents a novel evaluation framework for LLM-based agents using empirical cumulative distribution functions (ECDFs) to asse...
arXiv - Machine Learning
·
3 min
·
Llms
[2602.16113] Evolutionary Context Search for Automated Skill Acquisition
The paper presents Evolutionary Context Search (ECS), a novel method for automated skill acquisition in large language models, enhancing ...
arXiv - Machine Learning
·
3 min
·
Llms
[2602.16069] The Limits of Long-Context Reasoning in Automated Bug Fixing
This paper evaluates the limitations of long-context reasoning in automated bug fixing using large language models (LLMs), revealing sign...
arXiv - Machine Learning
·
4 min
·
Machine Learning
[2602.16063] MARLEM: A Multi-Agent Reinforcement Learning Simulation Framework for Implicit Cooperation in Decentralized Local Energy Markets
The paper presents MARLEM, a novel multi-agent reinforcement learning framework designed for studying implicit cooperation in decentraliz...
arXiv - Machine Learning
·
4 min
·
Machine Learning
[2602.16194] Temporal Panel Selection in Ongoing Citizens' Assemblies
This paper presents a framework for temporal panel selection in ongoing citizens' assemblies, ensuring proportional representation and in...
arXiv - AI
·
4 min
·
Ai Agents
[2602.16062] Harnessing Implicit Cooperation: A Multi-Agent Reinforcement Learning Approach Towards Decentralized Local Energy Markets
This paper presents a framework for decentralized local energy markets using implicit cooperation among agents, optimizing coordination w...
arXiv - Machine Learning
·
4 min
·
Llms
[2602.16189] Beyond Learning: A Training-Free Alternative to Model Adaptation
The paper presents a novel approach to model adaptation in language models, introducing a training-free method that utilizes internal mod...
arXiv - AI
·
4 min
·
Machine Learning
[2602.16061] Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models
This paper presents a novel framework for partial identification of population quantities under missing data, utilizing weak shadow varia...
arXiv - Machine Learning
·
4 min
·
Machine Learning
[2602.16177] Conjugate Learning Theory: Uncovering the Mechanisms of Trainability and Generalization in Deep Neural Networks
This paper introduces Conjugate Learning Theory, exploring trainability and generalization in deep neural networks through a novel theore...
arXiv - AI
·
4 min
·
Llms
[2602.16038] Heuristic Search as Language-Guided Program Optimization
The paper presents a structured framework for Language-Guided Program Optimization, improving Automated Heuristic Design in combinatorial...
arXiv - Machine Learning
·
3 min
·
Llms
[2602.16140] Human-AI Collaboration in Large Language Model-Integrated Building Energy Management Systems: The Role of User Domain Knowledge and AI Literacy
This study explores how user domain knowledge and AI literacy influence the effectiveness of human-AI interactions in building energy man...
arXiv - AI
·
4 min
·
Llms
[2602.15951] MadEvolve: Evolutionary Optimization of Cosmological Algorithms with Large Language Models
The paper presents MadEvolve, a framework for optimizing cosmological algorithms using large language models, demonstrating significant i...
arXiv - Machine Learning
·
3 min
·
Llms
[2602.16111] Surrogate-Based Prevalence Measurement for Large-Scale A/B Testing
The paper presents a scalable framework for measuring content prevalence in large-scale A/B testing, decoupling expensive labeling from e...
arXiv - AI
·
4 min
·
Llms
[2602.15950] Can Vision-Language Models See Squares? Text-Recognition Mediates Spatial Reasoning Across Three Model Families
This article investigates the limitations of vision-language models (VLMs) in spatial reasoning, particularly their struggle to localize ...
arXiv - Machine Learning
·
4 min
·
Computer Vision
[2602.16110] OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis
The paper presents OmniCT, a unified slice-volume large vision-language model (LVLM) designed for comprehensive CT analysis, addressing l...
arXiv - AI
·
4 min
·
Ai Agents
[2602.16109] Federated Graph AGI for Cross-Border Insider Threat Intelligence in Government Financial Schemes
The paper presents FedGraph-AGI, a federated learning framework designed to enhance cross-border insider threat detection in government f...
arXiv - AI
·
4 min
·
Machine Learning
[2602.15926] A Study on Real-time Object Detection using Deep Learning
This article explores real-time object detection using deep learning, detailing various algorithms, applications, and future research dir...
arXiv - Machine Learning
·
4 min
·
Llms
[2602.16093] Updating Parametric Knowledge with Context Distillation Retains Post-Training Capabilities
The paper introduces a novel approach called Distillation via Split Contexts (DiSC) for continual knowledge adaptation in large language ...
arXiv - AI
·
3 min
·
Machine Learning
[2602.15922] World Action Models are Zero-shot Policies
The paper introduces DreamZero, a World Action Model (WAM) that enhances zero-shot policy learning for robotic tasks by predicting future...
arXiv - Machine Learning
·
4 min
·
Related Topics
Stay updated with AI News
Get the latest news, tools, and insights delivered to your inbox.
Daily or weekly digest • Unsubscribe anytime