- See Also
- Gwern
-
Links
- “Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation”, Halawi et al 2024
- “Originality Dies When Being Average Is Easier”
- “Controlled Text Generation via Language Model Arithmetic”, Dekoninck et al 2023
- “Activation Addition: Steering Language Models Without Optimization”, Turner et al 2023
- “DiffusER: Discrete Diffusion via Edit-Based Reconstruction”, Reid et al 2022
- “Prompt-And-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer With Small Language Models”, Suzgun et al 2022
- “AdaVAE: Exploring Adaptive GPT-2s in Variational Autoencoders for Language Modeling”, Tu et al 2022
- “Using Natural Language Prompts for Machine Translation”, Garcia & Firat 2022
- “A Review of Text Style Transfer Using Deep Learning”, Toshevska & Gievska 2021
- “A Recipe For Arbitrary Text Style Transfer With Large Language Models”, Reif et al 2021
- “Story Centaur: Large Language Model Few Shot Learning As a Creative Writing Tool”, Swanson 2021
- “TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling”, Riley et al 2020
- “Improving GAN Training With Probability Ratio Clipping and Sample Reweighting”, Wu et al 2020
- “CTRL: A Conditional Transformer Language Model For Controllable Generation”, Keskar et al 2019
- “Multi-Content GAN for Few-Shot Font Style Transfer”, Azadi et al 2017
- “Style Transfer in Text: Exploration and Evaluation”, Fu et al 2017
- “Evaluating Prose Style Transfer With the Bible”, Carlson et al 2017
- “DeepTingle”, Khalifa et al 2017
- “A Neural Network System for Transformation of Regional Cuisine Style”, Kazama et al 2017
- “A Neural Algorithm of Artistic Style”, Gatys et al 2015
- “Introducing AI Dungeon Translate: AI Dungeon Players Can Now Translate Their Stories into Emojis by Just Clicking a Button. [ 🤔 💯 🤷♂️ 🤔 🤔 🤔 💯]”
- “OpenAI API Alchemy: Emoji Storytelling 🤖”
- “FairyTailor: Multimodal Generative Framework for Storytelling”
- “AI Dungeon Players Can Now Translate Their Stories into Emojis by Just Clicking a Button.”
- “FoxVox: One Click to Alter Reality”
- “This Is the OpenAI API. It Makes Spookily Good Twitter Bots. 13⁄10 Would Retweet”
- “I Finally Got ChatGPT to Sound like Me”, lsusr 2024
- Miscellaneous
- Bibliography
See Also
Gwern
“Abs-E (or, Speak Only in the Positive) § text2epositive.py Experiment”, Gwern 2024
Abs-E (or, speak only in the positive) § text2epositive.py experiment
“text2epositive.py”, Gwern 2024
“GPT-3 Creative Fiction”, Gwern 2020
Links
“Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation”, Halawi et al 2024
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
“Originality Dies When Being Average Is Easier”
“Controlled Text Generation via Language Model Arithmetic”, Dekoninck et al 2023
“Activation Addition: Steering Language Models Without Optimization”, Turner et al 2023
Activation Addition: Steering Language Models Without Optimization
“DiffusER: Discrete Diffusion via Edit-Based Reconstruction”, Reid et al 2022
“Prompt-And-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer With Small Language Models”, Suzgun et al 2022
“AdaVAE: Exploring Adaptive GPT-2s in Variational Autoencoders for Language Modeling”, Tu et al 2022
AdaVAE: Exploring Adaptive GPT-2s in Variational Autoencoders for Language Modeling
“Using Natural Language Prompts for Machine Translation”, Garcia & Firat 2022
“A Review of Text Style Transfer Using Deep Learning”, Toshevska & Gievska 2021
“A Recipe For Arbitrary Text Style Transfer With Large Language Models”, Reif et al 2021
A Recipe For Arbitrary Text Style Transfer with Large Language Models
“Story Centaur: Large Language Model Few Shot Learning As a Creative Writing Tool”, Swanson 2021
Story Centaur: Large Language Model Few Shot Learning as a Creative Writing Tool:
“TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling”, Riley et al 2020
TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling
“Improving GAN Training With Probability Ratio Clipping and Sample Reweighting”, Wu et al 2020
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
“CTRL: A Conditional Transformer Language Model For Controllable Generation”, Keskar et al 2019
CTRL: A Conditional Transformer Language Model For Controllable Generation
“Multi-Content GAN for Few-Shot Font Style Transfer”, Azadi et al 2017
“Style Transfer in Text: Exploration and Evaluation”, Fu et al 2017
“Evaluating Prose Style Transfer With the Bible”, Carlson et al 2017
“DeepTingle”, Khalifa et al 2017
“A Neural Network System for Transformation of Regional Cuisine Style”, Kazama et al 2017
A neural network system for transformation of regional cuisine style
“A Neural Algorithm of Artistic Style”, Gatys et al 2015
“Introducing AI Dungeon Translate: AI Dungeon Players Can Now Translate Their Stories into Emojis by Just Clicking a Button. [ 🤔 💯 🤷♂️ 🤔 🤔 🤔 💯]”
“OpenAI API Alchemy: Emoji Storytelling 🤖”
OpenAI API Alchemy: Emoji storytelling 🤖:
View External Link:
https://andrewmayne.com/2020/06/24/open-ai-alchemy-emoji-storytelling/
“FairyTailor: Multimodal Generative Framework for Storytelling”
FairyTailor: Multimodal Generative Framework for Storytelling
“AI Dungeon Players Can Now Translate Their Stories into Emojis by Just Clicking a Button.”
AI Dungeon players can now translate their stories into emojis by just clicking a button.:
“FoxVox: One Click to Alter Reality”
“This Is the OpenAI API. It Makes Spookily Good Twitter Bots. 13⁄10 Would Retweet”
This is the OpenAI API. It makes spookily good twitter bots. 13⁄10 would retweet:
“I Finally Got ChatGPT to Sound like Me”, lsusr 2024
Miscellaneous
-
/doc/ai/text-style-transfer/2020-brown-gpt3-figure12-largermodelsmetalearn.jpg: -
https://barryzhang.substack.com/p/our-humble-attempt-at-fine-tuning -
https://chatgpt.com/share/261034ff-f5d5-404c-b354-c9d58e3af509 -
https://wordcraft-writers-workshop.appspot.com/stories/allison-parrish: -
https://www.newyorker.com/news/our-columnists/whats-the-point-of-reading-writing-by-humans -
https://www.reddit.com/r/ChatGPT/comments/15et6f2/well_i_got_what_i_asked_for/ -
https://www.reddit.com/r/GPT3/comments/rzhrrt/gpt3_being_a_savage_partly_extremely_black_humor/ -
https://www.reddit.com/r/GPT3/comments/ukbba5/the_rickrollian_language_of_william_shakespeare/ -
https://www.reddit.com/r/OpenAI/comments/zcd9yq/making_it_explain_stuff_in_different_styles_is/:
Bibliography
-
https://arxiv.org/abs/2308.10248: “Activation Addition: Steering Language Models Without Optimization”, -
https://arxiv.org/abs/2202.11822#google: “Using Natural Language Prompts for Machine Translation”, -
https://arxiv.org/abs/1909.05858#salesforce: “CTRL: A Conditional Transformer Language Model For Controllable Generation”,