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Benchmark

GSM8K

Reported in 102 papers on Zotpaper. The latest, each as the paper states it:

A new loss function can keep fine-tuned chatbots from losing general abilities0.74 Accuracy
Language models can score better without learning, just by changing vocabularies-0.22 Spearman correlation between BPB and task score

GSM8K/HumanEval (2)All benchmarks →

2 results for “GSM8K”

Research · Language models
Diffusion models learn better short-budget reasoning from their longer-window trajectories
HiLo-RD: Cross-Budget Self-Distillation for Masked Diffusion Language Models
HiLo-RD transfers a model’s own large-window representations into small-window decoding, improving GSM8K accuracy while reducing readable output length.
GSM8K: 78.24% accuracy (as reported)
28 Oct 2026The Hong Kong University of Science and Technology (Guangzhou), Zhejiang University, Nanyang Technological University
Research · Generative media
Keeping token uncertainty improves discrete diffusion generation and fast sampling
Simplex Diffusion Models
Simplex Diffusion Models refine probability distributions over tokens, producing competitive language samples and stronger code-generation results with fewer denoising steps.
GSM8K: 32.1% problems solved (as reported)
3 Oct 2026Google DeepMind, EPFL, UCL Gatsby