Papers › Authorship Style Transfer with Policy Optimization

Authorship Style Transfer with Policy Optimization

12 Mar 2024arXiv:2403.08043archive 2025-07-28

Shuai Liu, Shantanu Agarwal, Jonathan May

Authorship style transfer aims to rewrite a given text into a specified target while preserving the original meaning in the source. Existing approaches rely on the availability of a large number of target style exemplars for model training. However, these overlook cases where a limited number of target style examples are available. The development of parameter-efficient transfer learning techniques and policy optimization (PO) approaches suggest lightweight PO is a feasible approach to low-resource style transfer. In this work, we propose a simple two-stage tune-and-optimize technique for low-resource textual style transfer. We apply our technique to authorship transfer as well as a larger-data native language style task and in both cases find it outperforms state-of-the-art baseline models.

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encode_example isi-nlp/astrapop/src/ets/train_classifier.py official repository ran MIT (permissive) · 07603ec33561b4eb · report
encode_example_paraphrase isi-nlp/astrapop/src/reddit/train_sft.py official repository ran MIT (permissive) · 8176a95ae3a201b8 · report
encode_paraphrase_example isi-nlp/astrapop/src/ets/train_sft.py official repository ran MIT (permissive) · 8910f4e5b5d4bbee · report
encode_transfer_example isi-nlp/astrapop/src/ets/train_sft.py official repository ran MIT (permissive) · f463ab3c42a28cb4 · report
generate isi-nlp/astrapop/src/ets/generate.py official repository ran MIT (permissive) · 6c1788682bf64080 · report
generate isi-nlp/astrapop/src/ets/generate_dpo_cpo_data.py official repository ran MIT (permissive) · 4fef07692ec2e44f · report
get_concat_transfer_prompt isi-nlp/astrapop/src/reddit/train_ppo.py official repository ran fingerprinted MIT (permissive) · 44f9b5a95924386d · report
get_paraphrase_prompt isi-nlp/astrapop/src/ets/generate.py official repository ran fingerprinted MIT (permissive) · 9cc59215e82b53ec · report
get_random_tgt_lang isi-nlp/astrapop/src/ets/train_ppo.py official repository ran MIT (permissive) · 9d3e98497d85a686 · report
get_styll_prompt isi-nlp/astrapop/src/reddit/train_sft.py official repository ran MIT (permissive) · 724242a144261aac · report
get_transfer_prompt isi-nlp/astrapop/src/ets/generate.py official repository ran fingerprinted MIT (permissive) · af515ba22c9dfe28 · report
get_transfer_prompt isi-nlp/astrapop/src/ets/generate_dpo_cpo_data.py official repository ran fingerprinted MIT (permissive) · ec477fe8b167e730 · report
encode_example_transfer isi-nlp/astrapop/src/reddit/train_sft.py official repository unverified MIT (permissive) · c42a75435bdfbae3 · report

Tasks

Style TransferTransfer Learning

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Methods

PO

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