Peer review was one of the most-discussed topics at #ACL2026 . Many folks were concerned about the incredible growth in the number of ARR submissions (17K for the May26 ARR cycle 😱), and even more shocked that ~40% didn't have any authors qualified to review. What is going on?? I did some digging...
Craig Schmidt
@craigschmidt.com
Interested in ML, AI, and NLP. Particularly interested in tokenization. Live in the Boston area and work in R&D at Kensho Technologies.
I’m at the airport flying to #ACL2026 in San Diego. If anyone else there wants to talk about tokenization, let meet up.
Our new paper reformulates tokenisation as a linear program (LP), which we solve to get SOTA tokenisers 😁 As a bonus, this LP tells us how close to optimal any tokeniser is! Check it out 👇 w/ J. Tempus, @philipwitti.bsky.social, @craigschmidt.com, D. Komm Paper: arxiv.org/abs/2605.22821
arxiv.org/abs/2605.22705 arxiv.org/abs/2605.22821 Happy Linear Programming for Tokenization day! I was involved with two separate papers that hit ArXiv yesterday, using LP's to find the vocabulary maximizing compression, depending on the kind of inference you want to use.
Tokenization with Split Trees
We introduce Tokenization with Split Trees (ToaST), a subword tokenization method that directly optimizes compression under a new recursive inference procedure. ToaST greedily splits each pretoken int...
arxiv.org
TokShop will be at #COLM2026! 🗓️ October 9th, 2026 📍 San Francisco, USA More details and a call for papers coming soon.
I’m at @colmweb.org this week in Montreal. Come see our BoundlessBPE paper in the Wed morning poster session. Love to talk to anyone else here, especially about tokenization. #COLM2025
There are two different ways that the Huggingface Word Piece implementation can produce <UNK> tokens even with ByteLevel pretokenization. A nice blog post from Stéphan Tulkens talks about how to fix one of them, in response to a question of mine. stephantul.github.io/blog/better-...
Better Greedy Tokenizers: Handling WordPiece's [UNK] Problem
Stéphan Tulkens' Blog
stephantul.github.io
I've been using GPT-5 on my phone (since it isn't my web account yet). I've had several bad responses with logical inconsistencies. My hot take: what if GPT-5 is mostly about saving OpenAI money on inference, which is why they are deprecating all the other models so quickly.
@crampell.bsky.social’s post got me to thinking and…yes…Trump has apparently canceled the research grant of Judea Pearl, who is one of the world’s leading scholars, is Jewish, Israeli-American, & is vocally opposed to antisemitism, & is the father of Daniel Pearl. www.science.org/content/arti...
Trump canceled the research grant for America’s — perhaps the world’s? — top mathematician (via @weakinstrument.bsky.social)
Interested in multilingual tokenization in #NLP? Lisa Beinborn and I are hiring! PhD candidate position in Göttingen, Germany: www.uni-goettingen.de/de/644546.ht... PostDoc position in Leuven, Belgium: www.kuleuven.be/personeel/jo... Deadline 6th of June
Stellen OBP - Georg-August-Universität Göttingen
Webseiten der Georg-August-Universität Göttingen
uni-goettingen.de
And of course I missed some tokenization related papers at #ACL2025 in my previous post. Any more I should add?
I'm sadly not at #ACL2025, but the work on tokenization seem to continue to explode. Here are the tokenization related papers I could find, in no particular order. Let me know if I missed any.
Really grateful to the organizers for the recognition of our work!
🏆 Announcing our Best Paper Awards! 🥇 Winner: "BPE Stays on SCRIPT: Structured Encoding for Robust Multilingual Pretokenization" openreview.net/forum?id=AO7... 🥈 Runner-up: "One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression" openreview.net/forum?id=lC4... Congrats! 🎉
I'm at #ICML2025 this week in Vancouver. My co-authors and I are presenting two posters at the Tokenization Workshop on Friday tokenization-workshop.github.io. The first is on how much data is useful in training a tokenizer arxiv.org/abs/2502.20273.
How Much is Enough? The Diminishing Returns of Tokenization Training Data
Tokenization, a crucial initial step in natural language processing, is governed by several key parameters, such as the tokenization algorithm, vocabulary size, pre-tokenization strategy, inference st...
arxiv.org
My son said he couldn’t call me on Father’s Day because he had worked the weekend dealing with a North Korean hacking group. Valid excuse I guess. The hack analysis …
excited bc today @huntress.com is releasing our analysis of a gnarly intrusion into a web3 company by the DPRK's BlueNoroff!! 🤠 we've observed 8 new pieces of macOS malware from implants to infostealers! and they're actually good (for once)! www.huntress.com/blog/inside-...
A bit of a mess around the conflict of COLM with the ARR (and to lesser degree ICML) reviews release. We feel this is creating a lot of pressure and uncertainty. So, we are pushing our deadlines: Abstracts due March 22 AoE (+48hr) Full papers due March 28 AoE (+24hr) Plz RT 🙏
If you have an interest in tokenization in Natural Language Processing (NLP), this is a nice discord. Come say hi.
Today we are launching a server dedicated to Tokenization research! Come join us! discord.gg/CDJhnSvU
Super honored that this paper received the best paper award at #COLING2025!
✨New pre-print!✨ Successful language technologies should work for a wide variety of languages. But some languages have systematically worse performance than others. In this paper we ask whether performance differences are due to morphological typology. Spoiler: I don’t think so! #NLP #linguistics
The final entry in my #EMNLP2024 fav papers was this paper aclanthology.org/2024.finding... from Thomas L Griffiths' keynote. Used rotational cyphers like ROT-13 and ROT-3 to disentangle forms of reasoning in Chain-of-Thought. Good cypher joke in the keynote! (see p. 24 arxiv.org/abs/2309.13638)
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
Akshara Prabhakar, Thomas L. Griffiths, R. Thomas McCoy. Findings of the Association for Computational Linguistics: EMNLP 2024. 2024.
aclanthology.org
This #EMNLP2024 best paper aclanthology.org/2024.emnlp-m... had large gains over their (somewhat weak) baseline in trying to determine if a given document was in a LLMs pre-training data. Progress in an important problem.
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
aclanthology.org
This #EMNLP2024 outstanding paper (aclanthology.org/2024.emnlp-m..., underline.io/events/469/s...) LMs can learn a rare grammatical construction like "a beautiful five days", even without any examples in the training data, by generalizing from more common phenomenon.
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This #EMNLP2024 post (aclanthology.org/2024.emnlp-m..., underline.io/events/469/p...) was about avoiding hallucination without human feedback. If you compare an answer at a higher temperature to a beam search generation, then the latter will be more factual, making preference pairs for DPO.
Model-based Preference Optimization in Abstractive Summarization without Human Feedback
Jaepill Choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
aclanthology.org
This paper underline.io/events/469/s... at #EMNLP2024 had one of my favorite takeaways: if you fine tune a LLM on knew knowledge it doesn't know you encourage hallucinations.
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I wanted to post of a few of my favorite #EMNLP2024 papers, starting with a couple in tokenization. Fishing For Magicarp explores the problem of undertrained "glitch" tokens, and how they can be identified from their embedding vectors. aclanthology.org/2024.emnlp-m...
Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
Sander Land, Max Bartolo. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
aclanthology.org
I made a starter pack for people in NLP working in the area of tokenization. Let me know if you'd like to be added go.bsky.app/8P9ftjL
I really enjoyed #EMNLP2024. It was an honor to present our tokenization paper aclanthology.org/2024.emnlp-m.... I’m planning to post about some of my favorite papers soon, but here is a nice write up.
Tokenization Is More Than Compression
Craig W Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
aclanthology.org
Just shared my takeaways from #EMNLP2024 on my blog: jlibovicky.github.io//2024/11/21/...
As @marcoher.bsky.social noted, this is an interesting confirmation of arxiv.org/pdf/2402.14903. I wonder if Llama3's tokenizer has all 3 digit numbers in the vocab? (GPT4 does, Claude doesn't). If not, it would be fun to look at errors on those missing numbers.
bsky.app
It's Sunday morning so taking a minute for a nerdy thread (on math, tokenizers and LLMs) of the work of our intern Garreth By adding a few lines of code to the base Llama 3 tokenizer, he got a free boost in arithmetic performance 😮 [thread]
There's a known bug in how we compute "word" probabilities with subword-based LMs that mark beginnings of words -- as pointed out by Byung-doh Oh and Will Schuler, & @tpimentel.bsky.social and Clara Meister I'm pleased to announce that minicons now includes a fix which runs batch-wise!