📢 Call for Papers! 📢 #BlackboxNLP 2025 invites the submission of archival and non-archival papers on interpreting and explaining NLP models. 📅 Deadlines: Aug 15 (direct submissions), Sept 5 (ARR commitment) 🔗 More details: blackboxnlp.github.io/2025/call/

Writing your technical report for the MIB shared task? Take a look at the task page for guidelines and tips!

The report deadline was also extended to August 10th! Note that this is a final extension. We look forward to reading your reports! ✍️

Just 5 days left to submit your method to the MIB Shared Task at #BlackboxNLP! Have last-minute questions or need help finalizing your submission? Join the Discord server: discord.gg/n5uwjQcxPR

With the new extended deadline, there's still plenty of time to submit your method to the MIB Shared Task! We welcome submissions of existing methods, experimental POCs, or any approach addressing circuit discovery or causal variable localization 💡

Results deadline extended by one week! Following requests from participants, we’re extending the MIB Shared Task submission deadline by one week. 🗓️ New deadline: August 8, 2025 Submit your method via the MIB leaderboard!

📝 Technical report guidelines are out! If you're submitting to the MIB Shared Task at #BlackboxNLP, feel free to take a look to help you prepare your report: blackboxnlp.github.io/2025/task/

Just 10 days to go until the results submission deadline for the MIB Shared Task at #BlackboxNLP! If you're working on: 🧠 Circuit discovery 🔍 Feature attribution 🧪 Causal variable localization now’s the time to polish and submit! Join us on Discord: discord.gg/n5uwjQcxPR

Are you attending ICML? 👀 I'm sadly not, but if you are, you should check out the MIB 🕶️poster at 11AM: icml.cc/virtual/2025... The benchmark is used as the shared task at this year's @blackboxnlp.bsky.social (blackboxnlp.github.io/2025/task/) - there's still time to participate 🏆

⏳ Three weeks left! Submit your work to the MIB Shared Task at #BlackboxNLP, co-located with @emnlpmeeting.bsky.social Whether you're working on circuit discovery or causal variable localization, this is your chance to benchmark your method in a rigorous setup!

Have you started working on your submission for the MIB shared task yet? Tell us what you’re exploring! New featurization methods? Circuit pruning? Better feature attribution? We'd love to hear about it 👇

Working on feature attribution, circuit discovery, feature alignment, or sparse coding? Consider submitting your work to the MIB Shared Task, part of this year’s #BlackboxNLP We welcome submissions of both existing methods and new or experimental POCs!

New to mechanistic interpretability? The MIB shared task is a great opportunity to experiment: ✅ Clean setup ✅ Open baseline code ✅ Standard evaluation Join the discord server for ideas and discussions: discord.gg/n5uwjQcxPR

The wait is over! 🎉 Our speakers for #BlackboxNLP 2025 are finally out!

🚨 Excited to announce two invited speakers at #BlackboxNLP 2025! Join us to hear from two leading voices in interpretability: 🎙️ Quanshi Zhang (Shanghai Jiao Tong University) 🎙️ Verna Dankers (McGill University) ‪@vernadankers.bsky.social‬

One month to go! ⏰ Working on featurization methods - ways to transform LM activations to better isolate causal variables? Submit your work to the Causal Variable Localization Track of the MIB Shared Task!

Working on the MIB shared task? Join the discord server: discord.gg/n5uwjQcxPR 🔍 Check out submission ideas 🔍 Brainstorm possible directions 🔍 Ask questions and get help with setup issues Full task description: blackboxnlp.github.io/2025/task/

Working on circuit discovery in LMs? Consider submitting your work to the MIB Shared Task, part of #BlackboxNLP at @emnlpmeeting.bsky.social 2025! The goal: benchmark existing MI methods and identify promising directions to precisely and concisely recover causal pathways in LMs >>

Have you heard about this year's shared task? 📢 Mechanistic Interpretability (MI) is quickly advancing, but comparing methods remains a challenge. This year at #BlackboxNLP, we're introducing a shared task to rigorously evaluate MI methods in language models 🧵

Interested in mechanistic interpretability and care about evaluation? Please consider submitting to our shared task at #blackboxNLP this year!

BlackboxNLP, the leading workshop on interpretability and analysis of language models, will be co-located with EMNLP 2025 in Suzhou this November! 📆 This edition will feature a new shared task on circuits/causal variable localization in LMs, details here: blackboxnlp.github.io/2025/task