GitHub Reduces Agent Workflow Token Costs by 62% Through Daily Audits and MCP Pruning Strategies
GitHub's Strategic Moves to Optimize Token Usage in Agentic Workflows GitHub has made significant strides in optimizing token usage within…
Unified Decoding Framework for Large Language Models: Enhancing Performance by Thinking Before Constraining
Submitted on: 12 Jan 2026 (v1), Last revised: 28 May 2026 (this version, v2) Explore an innovative approach in the…
Optimizing PV-Battery Scheduling Through Decision-Focused Learning
Enhancing Residential Photovoltaic Efficiency: A Deep Dive into arXiv:2605.28340v1 The landscape of residential energy consumption is evolving at a breakneck…
JMedEthicBench: A Comprehensive Multi-Turn Conversational Benchmark to Evaluate Medical Safety in Japanese Large Language Models
As digital technology continues to evolve, large language models (LLMs) are becoming essential tools in healthcare. However, the deployment of…
UDM-GRPO: Achieving Stability and Efficiency in Group Relative Policy Optimization for Uniform Discrete Diffusion Models
Exploring UDM-GRPO: A Breakthrough in Generative Modeling Submitted on: 20 Apr 2026 (v1), Last Revised: 27 May 2026 (v3) Recent…
Cloudflare Expands Features: Now Supports Claude Managed Agents
In a significant leap forward for developers, Cloudflare has introduced support for Claude Managed Agents. This enhancement allows users to…
![Exploring Attentional Image Classification: Are 256 Superpixels Worth 16×16 Pixels in Image Analysis? [2605.27144]](https://aimodelkit.com/wp-content/uploads/2026/05/1779937230_arxiv-logo-fb-330x220.png "Exploring Attentional Image Classification: Are 256 Superpixels Worth 16×16 Pixels In Image Analysis? [2605.27144]"){kind=logo}
Exploring Attentional Image Classification: Are 256 Superpixels Worth 16×16 Pixels in Image Analysis? [2605.27144]
Unpacking the Superpixel Transformers Framework: Bridging GNNs and Vision Transformers In the ever-evolving field of computer vision, the quest for…
Insights from Sarang Kulkarni: Key Lessons Learned in Developing Deep Research Agents for Production
### Understanding Deep Research Agentic Systems Deep Research Agentic Systems, such as OpenAI and Gemini Deep Research Agent, represent a…
Exploring OCR-Reasoning Benchmark: Assessing MLLMs’ Performance in Complex Text-Rich Image Reasoning
Unveiling the OCR-Reasoning Benchmark: A Game Changer for Multimodal Large Language Models In recent years, advancements in artificial intelligence have…
Enhancing Azure Logic Apps: Introducing Sandboxed Code Interpreters for Agent Workflows
PayloadTooLargeError: request entity too large at readStream (/var/app/current/node_modules/raw-body/index.js:163:17) at getRawBody (/var/app/current/node_modules/raw-body/index.js:116:12) at read (/var/app/current/node_modules/body-parser/lib/read.js:79:3) at jsonParser…
