Notizie
From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs
arXiv:2505.16408v2 Announce Type: replace Abstract: Adapting cultural values in Large Language Models (LLMs) presents significant...
From Roots to Rewards: Dynamic Tree Reasoning with Reinforcement Learning
arXiv:2507.13142v3 Announce Type: replace-cross Abstract: Modern language models address complex questions through chain-of-thought (CoT) reasoning...
From prompt chaos to clarity: How to build a robust AI orchestration layer
Choosing orchestration frameworks can be overwhelming, but some experts believe there are best practices to...
From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem
Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite...
From Perception to Action: The Role of World Models in Embodied AI Systems
Introduction to Embodied AI Agents Embodied AI agents are systems that exist in physical or...
From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
arXiv:2506.23101v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have shown impressive capabilities across...
From hallucinations to hardware: Lessons from a real-world computer vision project gone sideways
What we tried, what didn’t work and how a combination of approaches eventually helped us...
From disruption to reinvention: How knowledge workers can thrive after AI
We are beginning a cognitive migration: Away from what AI now does well, and toward...
From Correction to Mastery: Reinforced Distillation of Large Language Model Agents
arXiv:2509.14257v2 Announce Type: replace Abstract: Large Language Model agents excel at solving complex tasks through...
From Clicking to Reasoning: WebChoreArena Benchmark Challenges Agents with Memory-Heavy and Multi-Page Tasks
Web automation agents have become a growing focus in artificial intelligence, particularly due to their...
FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response
arXiv:2502.18452v3 Announce Type: replace Abstract: During Human Robot Interactions in disaster relief scenarios, Large Language...
Foxconn builds AI factory in partnership with Taiwan and Nvidia
Nvidia and Foxconn announced they are working with the Taiwan government to build an AI...
