ニュース
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...
Fragile Reasoning: A Mechanistic Analysis of LLM Sensitivity to Meaning-Preserving Perturbations
arXiv:2604.01639v1 Announce Type: new Abstract: Large language models demonstrate strong performance on mathematical reasoning benchmarks...
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...
FourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models
arXiv:2604.01762v1 Announce Type: cross Abstract: Parameter-efficient fine-tuning (PEFT) has emerged as a crucial paradigm for...
Four things we’d need to put data centers in space
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to...
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...
Four nuclear reactors hit a big milestone in the US
I was really looking forward to July 4, and not just because I love a...
Fostering breakthrough AI innovation through customer-back engineering
Despite years of digitization, organizations capture less than one-third of the value expected from digital...
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...
Forcing LLMs to be evil during training can make them nicer in the long run
A new study from Anthropic suggests that traits such as sycophancy or evilness are associated...
