Noticias
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...
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...
Four reasons to be optimistic about AI’s energy usage
The day after his inauguration in January, President Donald Trump announced Stargate, a $500 billion...
Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format
arXiv:2506.23133v1 Announce Type: new Abstract: Generating and voting multiple answers is an effective method to...
Forget the hype — real AI agents solve bounded problems, not open-world fantasies
Event-driven multi-agent systems are a practical architecture for working with imperfect tools in a structured...
Forensic deepfake audio detection using segmental speech features
arXiv:2505.13847v1 Announce Type: cross Abstract: This study explores the potential of using acoustic features of...
FLUX.1 Kontext enables in-context image generation for enterprise AI pipelines
FLUX.1 Kontext from Black Forest Labs aims to let users edit images multiple times through...
FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
arXiv:2403.08059v3 Announce Type: replace-cross Abstract: Language promptable X-ray image segmentation would enable greater flexibility for...
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design
arXiv:2506.13066v1 Announce Type: new Abstract: Large Multimodal Models (LMMs) demonstrate significant cross-modal reasoning capabilities. However...
FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language
arXiv:2506.20920v1 Announce Type: new Abstract: Pre-training state-of-the-art large language models (LLMs) requires vast amounts of...
Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks
By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would...
FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models
arXiv:2505.00725v1 Announce Type: new Abstract: Motivated by the emerging demand in the financial industry for...
