📢 PhD position in the NeuroAI of Language
Why can LLMs predict brain activity so well? We're hiring a PhD student to find out -- AI interpretability meets neuroimaging
Deadline March 20
Please RT 🙏
👇
mpi.nl/career-education/vacancies/vacancy/fully-funded-4-year-phd-position-neuroai-language
Great test for anyone learning mech interp is reading Nikankin et al's "Arithmetic Without Algorithms" which uses activation patching / circuits, probing, logit lens, describing max activating examples.. If you you follow along while reading, you'll realize you know a lot!
arxiv.org/abs/2410.21272
We were thrilled to host @mtutek.bsky.social at our lab last week.
His talk "From Internals to Integrity: How Insights into Transformer LMs Improve Safety, Interpretability, and Explanation Faithfulness" led to great discussions! 👏
#Transformers #AISafety #ExplainableAI #MLResearch #NLProc
Can LLMs figure out who you are from your anonymous posts?
From a handful of comments, LLMs can infer where you live, what you do, and your interests; then search for you on the web.
New 📄 w/ @SimonLermenAI, @joshua_swans, @AerniMichael, Nicholas Carlini, @florian_tramer 🧵
Code examples for the Python package elfen: # initializing extractor extractor = elfen.Extractor( data = df, language = "en", text_column = "text") # extracting a single feature: ttr extractor.extract("ttr") # extracting a feature area/group: readability extractor.extract_feature_group("readability") # extracting all available features extractor.extract_features()
Extracting structural/linguistic properties for large text datasets can be annoying. Existing tools either are not maintained, do not scale, or do not cover extensive sets of linguistic features.
For this reason, I implemented 🧝elfen, a Python package for efficient linguistic feature extraction
🚨 Emergency reviewer needed for ARR Resources and Evaluation track! Please ping me if you could review one paper by Friday. Topic is AI hallucinations, broadly speaking.
Hello #NLProc #ACL2026NLP people. I am looking for **two emergency reviewers** in the Safety and Alignment in LLMs track for ACL/ARR.
Reviews are due Feb 15th. Please DM if interested and available.
Happy to offer drinks/food if you live in/pass by Lisbon ☀️
Hello #NLProc #ACL2026NLP community, I'm looking for an emergency reviewer for an ARR submission on LLM interpretability.
If you're available to complete a review before Feb 15, please reply or DM 🙏
I need one too!
I could use an emergency reviewer for an ACL submission involving interpretability and syntax. Please DM me if you might be able to provide an emergency review before February 15!
I am looking for 2 emergency reviewers for the ARR Ethics, Bias & Fairness track. Please DM me if you are available 🙏
I'm looking for two emergency reviewers 🧑🚒👩🚒 for the ARR January Generalizability and Transfer track.
Please reach out if you have time & qualify for review or RT for visibility🙏🙏
Seems to be a common situation for ACs this round, but I'm also looking for two emergency reviewers for the January #ARR Evaluation and Resources track. I'd appreciate any help (reposts, encouragement, black magic...)
Looking for emergency reviewers for ARR Special Track "Explainability of NLP Models". Topics: Faithfulness, mechanistic interpretability, surveys and position papers. Deadline Feb 14 AoE. #ACL2026NLP
I'm sorry the guy changing the rules on the fly is named what
We already know prompt repetition is a handy hack to improve a decoder-only LM’s performance as it allows the model to “see” bidirectionally, an ability otherwise suppressed by the causal mask.
But what happens if we increase the number of repetitions? 🤔🧵 @eaclmeeting.bsky.social #EACL2026
ManagerBench was accepted to ICLR! @iclr-conf.bsky.social #ICLR2026
LLMs are still either unsafe, or completely harm avoidant - even when the harm affects furniture 🛋️
Check out our benchmark, online or in Rio 🇧🇷
Matija Luka Kuki\'c, Marko \v{C}uljak, David Duki\'c, Martin Tutek, Jan \v{S}najder
Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models
https://arxiv.org/abs/2601.17585
simplified overview of our aligned probing setup, where we join the behavioral and internal evaluation of LMs' toxicity
LMs that "know more" about toxicity are less toxic!
Our #TACL 📄 connects behavior and internals:
💠 LMs amplify toxicity beyond humans
💠 Information about toxicity peaks in lower layers
💠 Bypassing these layers increases toxicity
More details👇 #NLProc #interpretability (1/🧵)
Can you solve this algebra puzzle? 🧩
cb=c, ac=b, ab=?
A small transformer can learn to solve problems like this!
And since the letters don't have inherent meaning, this lets us study how context alone imparts meaning. Here's what we found:🧵⬇️
⏳ Deadline approaching! We’re hiring 2 fully funded postdocs in #NLP.
Join the MilaNLP team and contribute to our upcoming research projects (SALMON & TOLD)
🔗 Details + how to apply: milanlproc.github.io/open_positio...
⏰ Deadline: Jan 31, 2026
I'd like a link as well!
Nathan Stringham, Fateme Hashemi Chaleshtori, Xinyuan Yan, Zhichao Xu, Bei Wang, Ana Marasovi\'c
Teaching People LLM's Errors and Getting it Right
https://arxiv.org/abs/2512.21422
🚀 We’re opening 2 fully funded postdoc positions in #NLP!
Join the MilaNLP team and contribute to our upcoming research projects.
🔗 More details: milanlproc.github.io/open_positio...
⏰ Deadline: Jan 31, 2026
Llama enjoying a mug of hot cocoa in an office with Tuesday, March 31 circled on a calendar behind them
COLM 2026 is just around the corner! Mark your calendars for:
💡 Abstract deadline: Thursday, March 26, 2026
📄 Full paper submission deadline: Tuesday, March 31, 2026
Call for papers (website coming soon):
docs.google.com/document/d/1...
The Doge of Venice visits a Murano glassworks in the 17th century. I will talk about why glassmaking in this era has some similarities to AI research today.
At the #Neurips2025 mechanistic interpretability workshop I gave a brief talk about Venetian glassmaking, since I think we face a similar moment in AI research today.
Here is a blog post summarizing the talk:
davidbau.com/archives/202...
I’m recruiting a postdoc to work on algorithms for cancer genome reconstruction. We have access to a rich set of tumour samples sequenced across multiple technologies. If interested, feel free to DM. Please share.
🧑🔬I’m recruiting PhD students in Natural Language Processing @unileipzig.bsky.social Computer Science, together with @scadsai.bsky.social!
Topics include, but aren’t limited to:
🔎Linguistic Interpretability
🌍Multilingual Evaluation
📖Computational Typology
Please share!
#NLProc #NLP
I will be @euripsconf.bsky.social this week to present our paper as non-archival at the PAIG workshop (Beyong Regulation:
Private Governance & Oversight Mechanisms for AI). Very much looking forward to the discussions!
If you are at #EurIPS and want to chat about LLM's training data. Reach out!
📢 Postdoc position 📢
I’m recruiting a postdoc for my lab at NYU! Topics include LM reasoning, creativity, limitations of scaling, AI for science, & more! Apply by Feb 1.
(Different from NYU Faculty Fellows, which are also great but less connected to my lab.)
Link in 🧵
