Notizie
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
arXiv:2507.11764v1 Announce Type: new Abstract: This paper presents AI Wizards’ participation in the CLEF 2025...
AI That Teaches Itself: Tsinghua University’s ‘Absolute Zero’ Trains LLMs With Zero External Data
LLMs have shown advancements in reasoning capabilities through Reinforcement Learning with Verifiable Rewards (RLVR), which...
AI denial is becoming an enterprise risk: Why dismissing “slop” obscures real capability gains
Three years ago, ChatGPT was born. It amazed the world and ignited unprecedented investment and...
AI Agents Now Write Code in Parallel: OpenAI Introduces Codex, a Cloud-Based Coding Agent Inside ChatGPT
OpenAI has introduced Codex, a cloud-native software engineering agent integrated into ChatGPT, signaling a new...
AI agents are hitting a liability wall. Mixus has a plan to overcome it using human overseers on high-risk workflows
Mixus’s “colleague-in-the-loop” model blends automation with human judgment for safe deployment of AI agents.Read More...
Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
arXiv:2510.01304v1 Announce Type: cross Abstract: Although current large Vision-Language Models (VLMs) have advanced in multimodal...
Agentic Context Engineering (ACE): Self-Improving LLMs via Evolving Contexts, Not Fine-Tuning
TL;DR: A team of researchers from Stanford University, SambaNova Systems and UC Berkeley introduce ACE...
AgentCompass: Towards Reliable Evaluation of Agentic Workflows in Production
arXiv:2509.14647v1 Announce Type: cross Abstract: With the growing adoption of Large Language Models (LLMs) in...
AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection
arXiv:2508.01249v1 Announce Type: cross Abstract: Large Language Model (LLM) agents offer a powerful new paradigm...
Agentar-Fin-R1: Enhancing Financial Intelligence through Domain Expertise, Training Efficiency, and Advanced Reasoning
arXiv:2507.16802v2 Announce Type: replace Abstract: Large Language Models (LLMs) exhibit considerable promise in financial applications;...
Agent0: A Fully Autonomous AI Framework that Evolves High-Performing Agents without External Data through Multi-Step Co-Evolution
Large language models need huge human datasets, so what happens if the model must create...
Agent-based computing is outgrowing the web as we know it
AI agents are moving from passive assistants to active participants. Today, we ask them to...
