Christopher Schröder
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cschroeder.bsky.social
Christopher Schröder
@cschroeder.bsky.social
PhD Candidate @ Leipzig University. Active Learning, Text Classification and LLMs. Check out my active learning library: small-text. #NLP #NLProc #ActiveLearning #LLM #ML #AI
Reposted by Christopher Schröder
🦁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
September 17, 2026 at 12:53 PM
Reposted by Christopher Schröder
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
August 4, 2026 at 1:35 PM
Reposted by Christopher Schröder
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.
March 26, 2026 at 9:58 AM
🎉 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?
January 11, 2026 at 1:53 PM
Reposted by Christopher Schröder
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.
December 28, 2025 at 5:11 PM
Reposted by Christopher Schröder
⚖️ 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
November 17, 2025 at 9:29 AM
Reposted by Christopher Schröder
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
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.
huggingface.co
October 27, 2025 at 12:45 PM
Reposted by Christopher Schröder
🏆 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...
July 31, 2025 at 8:05 AM
Reposted by Christopher Schröder
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.
July 18, 2025 at 2:18 PM
Reposted by Christopher Schröder
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...
July 16, 2025 at 9:04 PM
Reposted by Christopher Schröder
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
June 27, 2025 at 2:46 PM
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
June 1, 2025 at 6:10 PM
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 😅.
May 26, 2025 at 6:00 PM
Reposted by Christopher Schröder
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
April 15, 2025 at 12:57 PM
Reposted by Christopher Schröder
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 🧵
April 15, 2025 at 1:01 PM
Reposted by Christopher Schröder
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 🙏
March 20, 2025 at 6:20 PM
Reposted by Christopher Schröder
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!
March 7, 2025 at 3:47 PM
Reposted by Christopher Schröder
(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 ⬇️
February 20, 2025 at 6:08 PM
Reposted by Christopher Schröder
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!
The Ultra-Scale Playbook - a Hugging Face Space by nanotron
The ultimate guide to training LLM on large GPU Clusters
hf.co
February 19, 2025 at 6:10 PM
Reposted by Christopher Schröder
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
February 16, 2025 at 1:19 PM
🔥 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
💙 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
January 12, 2025 at 5:26 PM
Reposted by Christopher Schröder
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!
💙 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
January 6, 2025 at 11:57 AM
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!
December 27, 2024 at 2:25 PM
💙 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
December 15, 2024 at 4:51 PM
Reposted by Christopher Schröder
Hello bluesky #NLProc world! Happy to announce the 12th Argument Mining workshop will be colocated with #ACL2025 in Vienna!
We are thrilled to announce the 12th Workshop on Argument Mining, focusing on Broadening the Scope of Argument Mining. The workshop will be co-located with
#ACL2025 in Vienna, Austria. More information will be available on the website argmining-org.github.io

#Argmining2025
argmining-org.github.io
December 6, 2024 at 5:57 PM