Unverified50% confidenceBenchmarkExact time
At M=8, the operator learned by LIPS-PC outperforms the best fixed transform (such as 2D-DCT) by 9-15 percentage points on all three datasets.
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Long-term
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11/4/2026
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UnverifiedA learnable permutation-invariant graph context aggregation mechanism (implemented with weighted averaging and Set2Set) achieved the largest improvement, about 0.9 percentage points, on the CVRP100 to CVRP20 transfer.66% similarUnverifiedFor a fixed m, the algorithm achieves an approximation ratio of (1-c_m)/(2-c_m) (ignoring estimation error), and this factor approaches 1/2 as c_m decreases.66% similarUnverifiedAmong the 12 model × task combinations, only gpt-5.4-mini showed a statistically significant accuracy improvement on the logical reasoning task: jumping from 15% to 97.5%, with p=0.00056 after Holm correction.65% similarUnverifiedBy the middle layers of the model, the norm of the register vectors grew to 4–13 times that of the image tokens.63% similarUnverifiedExperiments show that IDM improves Recall@10 by an average of 15.39%, and CMM improves NDCG@10 by an average of 8.28%.63% similar
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