Preprint finds alternating regret rates for experts and online convex problems
The proof-based analysis finds a horizon-independent logarithmic expert rate and matching dimension-horizon bounds for online convex optimization.
741–760
The proof-based analysis finds a horizon-independent logarithmic expert rate and matching dimension-horizon bounds for online convex optimization.
Preprint: AudioLens-R1 scored higher than competing audio systems, but the evaluation used synthesized speech and controlled paralinguistic features.
This preprint reports that YOLOEZ combines labeling, training and inference in a code-free interface, but a small benchmark found a tradeoff between catching cracks and avoiding incorrect detections.
This preprint reports a pilot with eight Java students in which an LLM grader tracked correctness better than explanation completeness, while learning evidence remained preliminary.
Preprint: In synthetic collective-dynamics tests, the method recovered interaction laws, improved environmental-force estimates, and selected among candidate models.
A preprint reports an exact analysis of the bosonic Veneziano amplitude, finding nonnegative coefficients for every mass level and allowed spin in dimensions above 3 and up to 26.
Preprint: A benchmark across four workloads found that query-aware tuning raised the share of searches meeting recall targets and often improved speed.
Preprint: In a 44-sample simulation benchmark, a frozen QwQ-32B model recorded higher PDE-term recovery scores from compact physical measurements than from raw field slices.
Preprint: STIS spatial scanning showed strong broad-band stability, but red spectral bins and a puzzling wavelength trend need further testing.
Preprint compares three Bangla fake-news models and finds a trade-off between classification scores, speed and memory use.
A proposed Bayesian method resisted extreme observations in simulations and had the lowest prediction error in 19 of 20 comparisons, but its intervals narrowed too far in one calibration test.
An arXiv review argues that the answer changes with bit allocation, shared scales, number formats and rounding methods.
Preprint: A simulated freight corridor reported higher throughput and lower congestion for its Cognitive scenario, which also had the highest total CO2 emissions proxy.
Preprint: The result is limited to a simplified Watson-Crick model and does not test realistic thermodynamics or biological conditions.
Preprint: A simulated formant-based network classified “ah” and “iy” perfectly, while a raw-waveform design scored 93% and broader tests showed limits.
Preprint: The model pairs complementary measurements and reports higher modeled fidelity and delivery rates than matched all-BSM networks at specified operating points.
Preprint: A training-free internal signal was associated with tool-call rates from near zero to above 90%, while live-search accuracy was higher at additional search cost.
Preprint: MoPLEx reports higher clustering and ranking scores on two benchmark datasets; resource reductions were limited to tested configurations.
Preprint testing reports 2.03 million CartPole steps per second, while a deformable-object task reached 8.86 thousand and leveled off at about 512 environments.
Preprint: A theoretical paper reports exact worst-case bounds below the 2^n exhaustive-search barrier for optimal discretization and point separation.