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Researchers Update ICML 2026 Paper on Inverse-Distilled Diffusion Language Models

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Original postArnaud Doucet#764
David@LiDavid2002

馃殌 We made a big update to the camera-ready version of our ICML 2026 paper: IDLM: Inverse-distilled Diffusion Language Models

Main highlights: 馃М TinyGSM/GSM8K results 鈿栵笍 More baselines + metrics 馃搲 GenPPL鈥揺ntropy frontier. 馃摑 New IDLM blog post

3:30 AM 路 Jun 9, 2026 路 1K Views
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Users in the replies praise the updated ICML 2026 paper on Inverse-Distilled Diffusion Language Models as very cool and congratulate the researchers.

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David@LiDavid2002

馃М TinyGSM/GSM8K results

Before, we mainly tested unconditional generation: does the model write good text fast?

Now we also ask: can it reason through math problems?

So we added TinyGSM/GSM8K conditional generation, using the S-FLM eval setup/codebase from @jdeschena.

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David@LiDavid2002

馃敆Blog + paper + code + checkpoints:

馃摑 Blog: https://david-cripto.github.io/Bio-page/blog/idlm/ 馃搫 Paper: https://arxiv.org/abs/2602.19066 馃捇 Code: https://github.com/David-cripto/IDLM 馃 Checkpoints: https://huggingface.co/kekchpek/models

We updated and released all the materials needed to explore and reproduce IDLM.

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David@LiDavid2002

鈿栵笍 More baselines + metrics

We expanded the evaluation with recent baselines: ELF(@HuLillian39250, @linluqiu), D-MMD (@emiel_hoogeboom), FLM/FMLM (@chandavidlee , @jw9730) and more. We also added MAUVE and GM metrics.

1dViews 141Likes 3
David@LiDavid2002

I鈥檓 additionally tagging a few people who might be interested in the new results and materials:

@yjelid @ssahoo_ @dvruette @AndrewC_ML @ValentinDeBort1 @ArnaudDoucet1 @WeiGuo01

1dViews 95Likes 2
David@LiDavid2002

馃搲 GenPPL鈥揺ntropy frontier.

Motivated by @Sam_Acqua鈥檚 recent observation that GenPPL can trade off with entropy under temperature sweeps, we add a GenPPL鈥揺ntropy plot. Notably, ELF performs very well on this frontier even without using a distillation technique.

(Method / Steps)

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David@LiDavid2002

馃摑 New IDLM blog post

We鈥檙e also excited to share a new IDLM blog post with intuition behind the method. How IDLM turns many-step DLMs into few-step generators.

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Emiel Hoogeboom@emiel_hoogeboom

@LiDavid2002 @HuLillian39250 @linluqiu @chandavidlee @jw9730 Super cool

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@LiDavid2002 @ssahoo_ @dvruette @AndrewC_ML @ValentinDeBort1 @ArnaudDoucet1 @WeiGuo01 Very cool stuff congrats David!

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David@LiDavid2002

@emiel_hoogeboom @HuLillian39250 @linluqiu @chandavidlee @jw9730 Thanks a lot馃槂

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David@LiDavid2002

@yjelid @ssahoo_ @dvruette @AndrewC_ML @ValentinDeBort1 @ArnaudDoucet1 @WeiGuo01 Thanks 馃榾

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