Tiny supervised models crush giant LLMs in fake news detection, study finds
A new benchmarking study shows that lightweight supervised embedding models dramatically outperform zero-shot and few-shot open-source large language models at ...
A new benchmarking study shows that lightweight supervised embedding models dramatically outperform zero-shot and few-shot open-source large language models at ...
Researchers have developed two federated learning algorithms, Bi-Models Training and Multi-Models Training, that remove a client's influence from a shared ...
A new study of 100,000 tweets shows that LLaMA 3.2 refuses about 10 percent of paraphrasing requests, enforcing a narrow, ...
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© 2025 Scienmag - Science Magazine