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arXiv preprint arXiv:2504.06214 , year=

4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it

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2026 4

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How Many Different Outputs Can a Transformer Generate?

cs.LG · 2026-05-21 · unverdicted · novelty 6.0

Transformers are limited to a linearly growing number of accessible output sequences with prompt length, with exponential decay in accessible proportion beyond a critical point, even under unbounded context.

ZAYA1-8B Technical Report

cs.AI · 2026-05-06 · unverdicted · novelty 6.0

ZAYA1-8B is a reasoning MoE model with 700M active parameters that matches larger models on math and coding benchmarks and reaches 91.9% on AIME'25 via Markovian RSA test-time compute.

ZONOS2 Technical Report

cs.SD · 2026-06-23 · unverdicted · novelty 4.0

ZONOS2 8B is a scaled MoE TTS model with 900M active parameters trained on 6M hours of data that reports competitive SOTA results on naturalness, speaker similarity, WER, and a new ZTTS1-Eval benchmark while releasing weights and code.

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Showing 4 of 4 citing papers after filters.

  • How Many Different Outputs Can a Transformer Generate? cs.LG · 2026-05-21 · unverdicted · none · ref 55

    Transformers are limited to a linearly growing number of accessible output sequences with prompt length, with exponential decay in accessible proportion beyond a critical point, even under unbounded context.

  • ZAYA1-8B Technical Report cs.AI · 2026-05-06 · unverdicted · none · ref 198

    ZAYA1-8B is a reasoning MoE model with 700M active parameters that matches larger models on math and coding benchmarks and reaches 91.9% on AIME'25 via Markovian RSA test-time compute.

  • Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation cs.CL · 2026-04-15 · unverdicted · none · ref 5

    RoPE-Perturbed Self-Distillation improves positional robustness during long-context fine-tuning of LLMs by training models to produce consistent outputs across RoPE-perturbed views of the input.

  • ZONOS2 Technical Report cs.SD · 2026-06-23 · unverdicted · none · ref 239

    ZONOS2 8B is a scaled MoE TTS model with 900M active parameters trained on 6M hours of data that reports competitive SOTA results on naturalness, speaker similarity, WER, and a new ZTTS1-Eval benchmark while releasing weights and code.