Unverified50% confidenceBenchmarkExact time
Tencent Cloud's paper on Terminal RSI trained on Qwen 2.5 7B, raising accuracy on Terminal Bench from 20.68% to 50.58%.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/20/2026
First Seen
Valid until: 1/18/2027
Sources
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UnverifiedDuring training, the held-out FID dropped from 33.7 to 27.0, FD-DINOv2 dropped from 570 to 218, and detector-based object accuracy improved from 65% to 90%.68% similarUnverifiedThe handwritten MLP model can achieve approximately 98.5% accuracy on the full MNIST training set.67% similarVerifiedIn a reproduction experiment training for 40 epochs on CIFAR-10, plain-56 achieved a training accuracy of 84.0% and plain-20 achieved a training accuracy of 95.1%, even though plain-56's parameter count (853,018) is approximately three times that of plain-20 (269,722).64% similarUnverifiedIn the experiments, the 4B model's accuracy before training was about fifty percent, while the 27B model reached over seventy-five percent.63% similar
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