“”

“HaluNet delivers strong detection performance and favorable computational efficiency, with or without access to context, highlighting its potential for real time hallucination detection in LLM based QA systems.”

“MambaSeg achieves state-of-the-art segmentation performance while significantly reducing computational cost.”

“IAFS effectively resolves the perception-fidelity conflict, yielding consistently improved perceptual detail and structural accuracy, and outperforming existing inference-time scaling methods.”

“The GNN-TF model outperforms state-of-the-art methods, delivering superior predictive accuracy for predicting future tobacco usage.”

“even if the system is doing the right thing, the way it communicates about threats can become the threat itself.”

“Co2S, a stable semi-supervised RS segmentation framework that synergistically fuses priors from vision-language models and self-supervised models.”

“WRCFormer achieves state-of-the-art performance on the K-Radar benchmarks, surpassing the best model by approximately 2.4% in all scenarios and 1.6% in the sleet scenario, highlighting its robustness under adverse weather conditions.”

“"Even if you copy and paste the lyrics, the model will refuse to translate them."”

“The fitting methods provide up to a 25% advantage in detection significance over the original stack method in realistic COMAP-like simulations.”

“CellMamba outperforms both CNN-based, Transformer-based, and Mamba-based baselines in accuracy, while significantly reducing model size and inference latency.”

“JoDiffusion jointly diffuses image with pixel-level annotations.”

“Claude 2.1 Refuses to kill a Python process”

“The US Copyright Office refuses application with AI algorithm named as author.”