Skip to main content

PopuLoRA (wip)

Implementation and explorations into PopuLoRA, Co-Evolving LLM Populations for Reasoning Self-Play, from Roger Castanyer et al at vmax.ai

Citations

@misc{castanyer2026populoracoevolvingllmpopulations,
    title   = {PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play},
    author  = {Roger Creus Castanyer and Geoffrey Bradway and Lorenz Wolf and Maxwill Lin and Augustine N. Mavor-Parker and Matthew James Sargent},
    year    = {2026},
    eprint  = {2605.16727},
    archivePrefix = {arXiv},
    primaryClass = {cs.AI},
    url     = {https://arxiv.org/abs/2605.16727},
}
@misc{schmidhuber2012powerplaytrainingincreasinglygeneral,
    title    = {POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem},
    author   = {Jürgen Schmidhuber},
    year     = {2012},
    eprint   = {1112.5309},
    archivePrefix = {arXiv},
    primaryClass = {cs.AI},
    url      = {https://arxiv.org/abs/1112.5309},
}
@misc{xu2026selfimprovinglanguagemodelsbidirectional,
    title   = {Self-Improving Language Models with Bidirectional Evolutionary Search},
    author  = {Guowei Xu and Zhenting Qi and Huangyuan Su and Weirui Ye and Himabindu Lakkaraju and Sham M. Kakade and Yilun Du},
    year    = {2026},
    eprint  = {2605.28814},
    archivePrefix = {arXiv},
    primaryClass = {cs.CL},
    url     = {https://arxiv.org/abs/2605.28814},
}
@misc{bahlousboldi2026vectorpolicyoptimizationtraining,
    title   = {Vector Policy Optimization: Training for Diversity Improves Test-Time Search},
    author  = {Ryan Bahlous-Boldi and Isha Puri and Idan Shenfeld and Akarsh Kumar and Mehul Damani and Sebastian Risi and Omar Khattab and Zhang-Wei Hong and Pulkit Agrawal},
    year    = {2026},
    eprint  = {2605.22817},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2605.22817},
}
@misc{bailey2026scalingselfplayselfguidance,
    title   = {Scaling Self-Play with Self-Guidance},
    author  = {Luke Bailey and Kaiyue Wen and Kefan Dong and Tatsunori Hashimoto and Tengyu Ma},
    year    = {2026},
    eprint  = {2604.20209},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2604.20209},
}
@misc{fleuret2025freetransformer,
    title   = {The Free Transformer},
    author  = {François Fleuret},
    year    = {2025},
    eprint  = {2510.17558},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG},
    url     = {https://arxiv.org/abs/2510.17558},
}

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

populora-0.0.15.tar.gz (12.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

populora-0.0.15-py3-none-any.whl (12.0 kB view details)

Uploaded Python 3

File details

Details for the file populora-0.0.15.tar.gz.

File metadata

  • Download URL: populora-0.0.15.tar.gz
  • Upload date:
  • Size: 12.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.17

File hashes

Hashes for populora-0.0.15.tar.gz
Algorithm Hash digest
SHA256 77298182a0cb1db6dcade122c256319b11ebb00992b06a0e6cf3e32a350fc2cc
MD5 076260e78471490a70cd9e1ba23dbf53
BLAKE2b-256 09770ef3451bca72e48716edce47a331f4d7566583a404986fdee6db28a7be2f

See more details on using hashes here.

File details

Details for the file populora-0.0.15-py3-none-any.whl.

File metadata

  • Download URL: populora-0.0.15-py3-none-any.whl
  • Upload date:
  • Size: 12.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.17

File hashes

Hashes for populora-0.0.15-py3-none-any.whl
Algorithm Hash digest
SHA256 529e2710d91098ad64d2bc4a74ecb407cbaba451dda09c8ee470110c5989b62f
MD5 a2b13f0623953284d690b568aaa432b9
BLAKE2b-256 73608580a137b6c90c38a7a31c75f2c802ff5b41e494e0deae1e76ae82b3797f

See more details on using hashes here.

Release history Release notifications | RSS feed

0.3.0

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.0

2 files

0.1.34

2 files

0.1.32

2 files

0.1.31

2 files

0.1.30

2 files

0.1.29

2 files

0.1.28

2 files

0.1.27

2 files

0.1.26

2 files

0.1.25

2 files

0.1.24

2 files

0.1.23

2 files

0.1.21

2 files

0.1.20

2 files

0.1.19

2 files

0.1.18

2 files

0.1.16

2 files

0.1.15

2 files

0.1.14

2 files

0.1.12

2 files

0.1.11

2 files

0.1.10

2 files

0.1.9

2 files

0.1.8

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

0.0.17

2 files

0.0.16

2 files

This release

0.0.15 This release

2 files

0.0.14

2 files

0.0.12

2 files

0.0.11

2 files

0.0.10

2 files

0.0.9

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page