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Sebeni morphotactic post-training on MULTI13: SFT, DPO and APO arms with SmolLM2-135M

Sebastien Diarra

Submitted by Sebastien Diarra @s7d11

Published 2026-10-06

Official implementation · Research paper · Natural language processing

Code

Abstract

Three post-training arms of Sebeni, a morphotactic generation toolkit for extremely low-resource Manding languages, on the MULTI13 scope (13 languages). Each arm distils the grammar and dictionary, fine-tunes SmolLM2-135M with 4-bit LoRA for 500 steps on the packaged 300-sample dataset with a 10% held-out split, and scores the held-out test set (phi, MER, MCS, UWEC). Code: github.com/mlsftwrs/sebeni at commit 8e66775, with K-Veritas capture added to the CLI.

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Cite this record

@misc{kveritas261000001v1,
  title={Sebeni morphotactic post-training on MULTI13: SFT, DPO and APO arms with SmolLM2-135M},
  author={Sebastien Diarra},
  year={2026},
  howpublished={K-Veritas Records},
  note={kv:2610.00001v1},
  url={https://kveritas.org/records/2610.00001v1},
}

Versions

• kv:2610.00001v1
• kv:2610.00001v2

References

1. [1] Mamadou K. Keita and Christopher Homan. Computer Science Conferences Should Require Nonrepudiable Experimental Results. NeurIPS 2026 Position Paper Track. arXiv:2605.08586.

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