iiinova — where your digital self keeps evolving

Reposted by Christopher Schröder

LION Lab @lionlab.bsky.social · 17/09/2026

🦁LION Lab is hiring! 🧑‍🔬One fully funded PhD student (TVL-13 100%) for 3 years 💉Topic: Interpretability for Protein Language Models 👥Advised by @weissweiler.bsky.social together with Clara Schoeder 🌍Leipzig, Germany 🔗Apply by Oct 15: lionlabnlp.github.io/jobs/ai4pf/ Please share! #NLProc #NLP

0109

Reposted by Christopher Schröder

EACL 2027 @eaclmeeting.bsky.social · 04/08/2026

4134 submissions have been submitted to the ARR August cycle, a 14% increase compared to the ARR October 2025 cycle corresponding to EACL🔥. #EACL2027 in Athens is likely to be the biggest EACL ever 👀 #NLProc @aclrollingreview.bsky.social

01712

Reposted by Christopher Schröder

Maik Fröbe @maik-froebe.bsky.social · 26/03/2026

I am happy to share that I defended my PhD thesis this week. I want to thank all the people I collaborated with and met at conferences and workshops over the years! Especially a big thank you to my PhD supervisor, Matthias Hagen, and to Laura Dietz and Udo Kruschwitz for reviewing my thesis.

3244

Christopher Schröder @cschroeder.bsky.social · 11/01/2026

🎉 Somewhat late, but excited to share: our paper “Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey” has been accepted to #EACL2026! We asked: What are data annotation needs in the era of LLMs? How is active learning actually used? How does it compare to other methods?

170

Reposted by Christopher Schröder

John Holbein @johnholbein1.bsky.social · 28/12/2025

Wow. Twitch says they won't allow "hatred, prejudice, or intolerance" on their platform. But their automated moderation tool (AutoMod) really sucks It misses ≈94% of hateful messages (unless there are slurs) + it blocks ≈90% of benign messages that happen to use sensitive words in positive ways.

2153

Reposted by Christopher Schröder

Niklas Stoehr @niklasstoehr.bsky.social · 17/11/2025

⚖️ Measuring Scalar Constructs in Social Science with LLMs with rising (and established) stars in Computational Social Science @haukelicht.bsky.social @rupak-s.bsky.social @patrickwu.bsky.social @pranavgoel.bsky.social @elliottash.bsky.social @alexanderhoyle.bsky.social arxiv.org/abs/2509.03116

0164

Reposted by Christopher Schröder

Webis Group @webis.de · 27/10/2025

We just released "German Commons", the largest openly-licensed German text dataset for LLM training: 154B tokens with clear usage rights for research and commercial use. huggingface.co/datasets/coral-nlp/german-commons

huggingface.co

coral-nlp/german-commons · Datasets at Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

1209

Reposted by Christopher Schröder

Manuel Tonneau @manueltonneau.bsky.social · 31/07/2025

🏆 Thrilled to share that our HateDay paper has received an Outstanding Paper Award at #ACL2025 Big thanks to my wonderful co-authors: @deeliu97.bsky.social, Niyati, @computermacgyver.bsky.social, Sam, Victor, and @paul-rottger.bsky.social! Thread 👇and data avail at huggingface.co/datasets/man...

2337

Reposted by Christopher Schröder

Webis Group @webis.de · 18/07/2025

Honored to win the ICTIR Best Paper Honorable Mention Award for "Axioms for Retrieval-Augmented Generation"! Our new axioms are integrated with ir_axioms: github.com/webis-de/ir_... Nice to see axiomatic IR gaining momentum.

1166

Reposted by Christopher Schröder

Webis Group @webis.de · 16/07/2025

Happy to share that our paper "The Viability of Crowdsourcing for RAG Evaluation" received the Best Paper Honourable Mention at #SIGIR2025! Very grateful to the community for recognizing our work on improving RAG evaluation. 📄 webis.de/publications...

22710

Reposted by Christopher Schröder

Maik Fröbe @maik-froebe.bsky.social · 27/06/2025

Do not forget to participate in the #TREC2025 Tip-of-the-Tongue (ToT) Track :) The corpus and baselines (with run files) are now available and easily accessible via the ir_datasets API and the HuggingFace Datasets API. More details are available at: trec-tot.github.io/guidelines

Dory from finding nemo with the quote: "I remember it like it was yesterday. Of course, I dont remember yesterday."

0117

Christopher Schröder @cschroeder.bsky.social · 01/06/2025

Oh no, what happened to Argilla? @hf.co Could you explain what's going on? It has barely been a year since you bought it. #nlproc #nlp #ml

040

Christopher Schröder @cschroeder.bsky.social · 26/05/2025

Big fan of @ai2.bsky.social's semantic scholar feeds. Usually great for paper recommendations. Yesterday it recommended... a paper that blatantly plagiarized from a former student's thesis that I co-supervised. So, I guess the algorithm really knows my interests 😅.

100

Reposted by Christopher Schröder

TurkuNLP @turkunlp.bsky.social · 15/04/2025

Our recent paper on the impact of register (genre) on LLM performance. Key points: news do poor in evaluation, while opinionated texts are among the best. We hope this work can be used to understand the impact of register on LLMs and improve training data mixes! arxiv.org/abs/2504.01542

051

Reposted by Christopher Schröder

Ai2 @ai2.bsky.social · 15/04/2025

Ever wonder how LLM developers choose their pretraining data? It’s not guesswork— all AI labs create small-scale models as experiments, but the models and their data are rarely shared. DataDecide opens up the process: 1,050 models, 30k checkpoints, 25 datasets & 10 benchmarks 🧵

Plot shows the relationship between compute used to predict a ranking of datasets and how accurately that ranking reflects performance at the target (1B) scale of models pretrained from scratch on those datasets.

15211

Reposted by Christopher Schröder

Conference on Language Modeling @colmweb.org · 20/03/2025

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 🙏

33631

Reposted by Christopher Schröder

Seth Karten @sethkarten.ai · 07/03/2025

Can a Large Language Model (LLM) with zero Pokémon-specific training achieve expert-level performance in competitive Pokémon battles? Introducing PokéChamp, our minimax LLM agent that reaches top 30%-10% human-level Elo on Pokémon Showdown! New paper on arXiv and code on github!

1335

Reposted by Christopher Schröder

Hamish Ivison @hamishivi.bsky.social · 20/02/2025

(1/8) Excited to share some new work: TESS 2! TESS 2 is an instruction-tuned diffusion LM that can perform close to AR counterparts for general QA tasks, trained by adapting from an existing pretrained AR model. 📜 Paper: arxiv.org/abs/2502.13917 🤖 Demo: huggingface.co/spaces/hamis... More below ⬇️

141

Reposted by Christopher Schröder

Thomas Wolf @thomwolf.bsky.social · 19/02/2025

After 6+ months in the making and over a year of GPU compute, we're excited to release the "Ultra-Scale Playbook": hf.co/spaces/nanot... A book to learn all about 5D parallelism, ZeRO, CUDA kernels, how/why overlap compute & coms with theory, motivation, interactive plots and 4000+ experiments!

hf.co

The Ultra-Scale Playbook - a Hugging Face Space by nanotron

The ultimate guide to training LLM on large GPU Clusters

217952

Reposted by Christopher Schröder

Juraj Vladika @jvladika.bsky.social · 16/02/2025

More than 8500 submissions to ACL 2025 (ARR February 2025 cycle)! That is an increase of 3000 submissions compared to ACL 2024. It will be a fun reviewing period. 😅💯 @aclmeeting.bsky.social #ACL2025 #ACL2025nlp #NLP

1205

Christopher Schröder @cschroeder.bsky.social · 12/01/2025

🔥 𝐅𝐢𝐧𝐚𝐥 𝐂𝐚𝐥𝐥 𝐚𝐧𝐝 𝐃𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧: Survey on Data Annotation and Active Learning We need your support in web survey in which we investigate how recent advancements in NLP, particularly LLMs, have influenced the need for labeled data in supervised machine learning. #NLP #NLProc #ML #AI

240

Reposted by Christopher Schröder

Gabriella Lapesa @gabriellalapesa.bsky.social · 06/01/2025

Hallo and happy New Year #NLProc :) Julia Romberg, a postdoc in my group in Cologne, together with other collaborators, is conducting a survey on the use of Active Learning in NLP. Find the link in the thread below!

062

Christopher Schröder @cschroeder.bsky.social · 27/12/2024

Here’s just one of the many exciting questions from our survey. If these topics resonate with you and you have experience working on supervised learning with text (i.e., supervised learning in Natural Language Processing), we warmly invite you to participate!

150

Christopher Schröder @cschroeder.bsky.social · 15/12/2024

💙 𝗗𝗮𝘁𝗮 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝗕𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸 𝗮𝗻𝗱 𝗔𝗰𝘁𝗶𝘃𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗡𝗟𝗣 𝗶𝗻 𝘁𝗵𝗲 𝗘𝗿𝗮 𝗼𝗳 𝗟𝗟𝗠𝘀 💡 Have you ever had to overcome a lack of labeled data to deal with an NLP task? We are conducting a survey to explore the strategies used to overcome this bottleneck. #NLP #ML

285

Reposted by Christopher Schröder

Gabriella Lapesa @gabriellalapesa.bsky.social · 06/12/2024

Hello bluesky #NLProc world! Happy to announce the 12th Argument Mining workshop will be colocated with #ACL2025 in Vienna!

031

Reposted by Christopher Schröder

Jeremy Howard @howard.fm · 28/11/2024

A librarian that previously worked at the British Library created a relatively small dataset of bsky posts, hundreds of times smaller than previous researchers, to help folks create toxicity filters and stuff. So people bullied him & posted death threats. He took it down. Nice one, folks.

2858258

Christopher Schröder @cschroeder.bsky.social · 26/11/2024

Oh, I forgot... this is also the first version for which I dropped the Twitter share button 😛. Let me know once there is a replacement for bluesky.

030

Reposted by Christopher Schröder

Daniel Vila @dvilasuero.hf.co · 26/11/2024

Let's make AI more inclusive. At @huggingface.bsky.social we'll launch a huge community sprint soon to build high-quality training datasets for many languages. We're looking for Language Leads to help with outreach. Find your language and nominate yourself: forms.gle/iAJVauUQ3FN8...

85321

Reposted by Christopher Schröder

Joe Stacey @joestacey.bsky.social · 24/11/2024

Okay genius idea to improve quality of #nlp #arr reviews. Literally give gold stars to the best reviewers, visible on open review next to your anonymously ID during review process. Here’s why it would work, and why would you should RT this fab idea:

3275

Christopher Schröder @cschroeder.bsky.social · 24/11/2024

🐣 New release: small-text v2.0.0.dev1 With Small Language Models on the rise, the new version of small-text has been long overdue! Despite the generative AI hype, many real-world tasks still rely on supervised learning—which is reliant on labeled data. #activelearning #nlproc #nlp #llms

A screenshot showing part of the readme file of the small-text software. small-text offers active learning for text classification in Python.

3416

Reposted by Christopher Schröder

Oded Rechavi @odedrechavi.bsky.social · 19/11/2024

Hope I'm the first to post this all time classic on this platform

392910620

Reposted by Christopher Schröder

University of York Library @uoylibrary.bsky.social · 13/11/2024

We've written a Researcher's Guide to Bluesky! It's a bit like all those other useful guides to Bluesky, but with several useful insights from University of York academics about using the platform, and we'd love it if it was reposted far and wide... >> blogs.york.ac.uk/library/2024... 🧵 below

blogs.york.ac.uk

The Researcher’s Guide to Bluesky – The Library, Learning, Archives and Wellbeing Blog

63850590

Christopher Schröder @cschroeder.bsky.social · 13/11/2024

@bsky.app My feed is starting to look nice. Great work! Happy that more and more are coming here. How are you planning to keep it awesome and not let it turn into what we all left behind?

110

Christopher Schröder @cschroeder.bsky.social · 22/09/2024

🎉 Happy to share that our paper got accepted to #EMNLP 2024 Main! Stay tuned for more updates! 🚀 Preprint: arxiv.org/pdf/2406.09206

060

Reposted by Christopher Schröder

Leshem (Legend) Choshen @EMNLP @lchoshen.bsky.social · 16/02/2024

DoRA explores the magnitude and direction and surpasses LoRA quite significantly This is done with an empirical finding that I can't wrap my head around @nvidiageforce.bsky.social🤖 arxiv.org/abs/2402.09353

271