LLMs Trust Falsehoods Despite Warnings
New fine-tuning tests reveal LLMs confidently repeat false claims even after explicit warnings.
Latest articles in Research
New fine-tuning tests reveal LLMs confidently repeat false claims even after explicit warnings.
New fine-tuning tests reveal LLMs persist in stating falsehoods despite explicit warnings, highlighting critical alignme…
Medical AI moves beyond accuracy metrics to adapt to complex clinical workflows and multi-modal data integration.
CVPR 2026 highlights a shift in medical AI from simple image recognition to complex workflow integration and multi-modal…
NVIDIA introduces Polar, a token-faithful framework for GRPO training that enhances coding agents like Qwen and Claude w…
Peking University and partners release RealAppliance dataset to solve home robot planning issues via high-fidelity simul…
Robin AI completes months of drug discovery work in under 2 hours, identifying a new treatment for blinding eye diseases…
New research reveals 'lying fonts' in Rust AI tools, exposing critical visual deception risks for developers.
New 'Noroboto' vulnerability exposes font rendering risks in Rust apps. Developers must patch immediately.
University of Oulu researchers developed an AI chatbot that uses cognitive inoculation to help users resist health misin…
University of Oulu researchers develop AI chatbot using 'cognitive inoculation' to combat health misinformation effectiv…
New AI models cut drug search time from decades to years, targeting MND treatments.