Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models · HackerPapers discussions

Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Fri, 28 Aug 2026 13:54:56 GMT

This is a better way than we use to create the "slop ban list" in our "Antislop" sampler/fine-tuning method. Gonna totally nab the weights for all these words and remove this crap from claude going forward! Thanks OP!!! https://arxiv.org/abs/2510.15061 (ICLR 2026)

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Mon, 10 Aug 2026 22:07:27 GMT

Oh, sorry about that: https://arxiv.org/abs/2510.15061 (ICLR 2026) (not actually sorry)

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Fri, 31 Jul 2026 03:11:48 GMT

For anyone that wants to evade the kind of people who want to figure out if an AI wrote your review or not, we wrote a whole paper (ICLR 2026!) on how to do that! https://arxiv.org/abs/2510.15061 I consider all types of "I liked this output, but don't the moment I learned it was AI generated" to be externalizations of "carbon chauvinism" (https://en.wikipedia.org/wiki/Carbon_chauvinism) and basically bigotry. And BTW, the term "meritocracy" was coined in a book that was extremely critical of the idea and which argued that a real meritocracy is actually dystopian. We consider our work "harming…

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by tensegrist

Tue, 14 Jul 2026 18:02:55 GMT

things like that indeed tend to be fraught some relevant links https://arxiv.org/abs/2408.02442 https://arxiv.org/abs/2510.15061 https://arxiv.org/abs/2604.13006

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Tue, 30 Jun 2026 19:37:40 GMT

We send our regards: https://arxiv.org/abs/2510.15061 (ICLR 2026)

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Mon, 01 Jun 2026 01:14:05 GMT

We solved this problem already with the antislop sampler: https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Fri, 29 May 2026 13:59:37 GMT

Related, we made "Antislop", a framework for removing repetitive phraseology from LLMs: https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Wed, 01 Apr 2026 15:42:06 GMT

We figured out how to remove that crap in our ICLR 2026 paper: https://arxiv.org/pdf/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Thu, 19 Feb 2026 10:36:27 GMT

We wrote the paper on deslopping LLM and their outputs: https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Mon, 16 Feb 2026 19:43:51 GMT

FWIW: When I accuse folks of it, take it more seriously - we literally wrote a paper (ICLR 2026) on deslopping language models: https://arxiv.org/abs/2510.15061 Also you might not care, but normies sure care! https://arxiv.org/html/2410.03723v2 https://arxiv.org/html/2510.08831v1

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Fri, 13 Feb 2026 20:03:38 GMT

This is what they get for not reading our antislop paper (ICLR 2026) and using our anti-slopped sampler/models, or Kimi (which is remarkable relatively non sloppy) https://arxiv.org/abs/2510.15061 I thought normies would have caught onto the EM dash, overuse of semicolons, overuse of fancy quotes, lack of exclamation marks, "It's not X, it's Y", etc. Clearly I was wrong.

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Thu, 12 Feb 2026 19:00:31 GMT

Just use our antislop techniques and no one will ever know you used an LLM. https://arxiv.org/abs/2510.15061 (ICLR 2026) Also you could long use "logit_bias" in the API of models which supported it to ban the EM dash, ban the word "not", ban semicolons, and ban the "fancy quotes" that were clearly added by "those who need to watch" to make sure that they can clearly figure out if you used an LLM or not.

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Sun, 08 Feb 2026 12:36:06 GMT

Our paper on removing AI slop got accepted to ICLR 2026, and it's under consideration for an IgNobel prize: https://arxiv.org/abs/2510.15061 Our definition of slop (repetitive characteristic language from LLMs) is the original one as articulated by the LLM creative writing community circa 2022-2023. Folks trying to redefine it today to mean "lazy LLM outputs I don't like" should have chosen a different word.

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Fri, 06 Feb 2026 20:15:49 GMT

This still doesn't remove all the slop. You need sampler or fine-tuning tricks for it. https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Wed, 21 Jan 2026 21:57:56 GMT

We wrote the actual paper on “stopping slop” https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Tue, 20 Jan 2026 11:57:50 GMT

Go take a giant dataset of LLM generated outputs, use an accurate POS tagger and look for 5-grams or similar lengths of matching patterns. If you do thi, you’ll pull out the overrepresented paragraph and sentence level slop that we humans intuitively detect easily. If your writing appears to be AI generated, I assume you aren’t willing to put human intentionality/effort into your work and as such I write it off. Btw we literally wrote a paper and contributed both sampling level techniques, fine tuning level techniques, and antislopped models for folks to use who want to not be obviously…

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Sat, 27 Dec 2025 17:54:39 GMT

Read our paper on de-slopping LLM outputs. It's far more than simply all having the same fixed AI system prompts. It's an overuse of post-training and contempt for pre-training. https://arxiv.org/pdf/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Sat, 27 Dec 2025 17:51:24 GMT

We wrote the paper on how to deslop your LLM outputs and if you use our factory de-slopped versions of gemma3 you don't have to worry about this, similarly if you use our antislop sampler, your LLM outputs will look very close to human. https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Wed, 26 Nov 2025 18:10:40 GMT

We wrote the paper on how to remove slop from LLMs. https://arxiv.org/abs/2510.15061 Also somewhat tangentially relevant video: https://www.youtube.com/watch?v=Tsp2bC0Db8o

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Fri, 14 Nov 2025 16:04:29 GMT

You can remove this easily. We wrote a paper on how to remove this slop from LLMs. https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Fri, 14 Nov 2025 16:02:37 GMT

And people like you will hate it even more when the normies immunize themselves from being obviously caught by such tells: https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Thu, 13 Nov 2025 21:37:29 GMT

We wrote the paper on how to deslop your language model: https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by Der_Einzige

Thu, 06 Nov 2025 16:01:01 GMT

Pretty sad that they didn't even try our antislop sampler. Slop in LLM outputs is a choice: https://arxiv.org/abs/2510.15061

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — mentioned by westurner

Thu, 23 Oct 2025 20:28:57 GMT

ScholarlyArticle: "Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models" (2025) https://arxiv.org/abs/2510.15061 : > Abstract: [...] Our approach combines three innovations: (1) The Antislop Sampler, which uses backtracking to suppress unwanted strings at inference time without destroying vocabulary; (2) An automated pipeline that profiles model-specific slop against human baselines and generates training data; (3) Final Token Preference Optimization (FTPO), a novel fine-tuning method that operates on individual tokens, surgically…

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Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models — HN submission

Thu, 23 Oct 2025 16:36:05 GMT

Antislop: A framework for eliminating repetitive patterns in language models

120 points; 110 discussion replies on HN. Paper and source history. A submission is not an endorsement.