BlackboxNLP
@blackboxnlp.bsky.social
180 followers 300 following 29 posts
The largest workshop on analysing and interpreting neural networks for NLP. BlackboxNLP will be held at EMNLP 2025 in Suzhou, China blackboxnlp.github.io
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blackboxnlp.bsky.social
📢 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/
blackboxnlp.bsky.social
Writing your technical report for the MIB shared task?
Take a look at the task page for guidelines and tips!
blackboxnlp.bsky.social
📝 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/
blackboxnlp.bsky.social
The report deadline was also extended to August 10th!
Note that this is a final extension. We look forward to reading your reports! ✍️
blackboxnlp.bsky.social
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!
blackboxnlp.bsky.social
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
blackboxnlp.bsky.social
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 💡
blackboxnlp.bsky.social
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!
blackboxnlp.bsky.social
📝 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/
blackboxnlp.bsky.social
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
Reposted by BlackboxNLP
mtutek.bsky.social
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 🏆
blackboxnlp.bsky.social
⏳ 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!
blackboxnlp.bsky.social
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 👇
blackboxnlp.bsky.social
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!
blackboxnlp.bsky.social
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
Reposted by BlackboxNLP
gsarti.com
The wait is over! 🎉 Our speakers for #BlackboxNLP 2025 are finally out!
blackboxnlp.bsky.social
🚨 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
blackboxnlp.bsky.social
🚨 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
blackboxnlp.bsky.social
That’s a great idea, thank you for the suggestion! We’ll make sure to keep the channel going beyond the deadline
blackboxnlp.bsky.social
A typical pipeline:
• Build contrastive input pairs differing only in the target variable.
• (If supervised) train the featurizer on these pairs.
• To evaluate: Transform activation, intervene in feature space, transform back out, and check if behavior shifts as expected.
blackboxnlp.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!
blackboxnlp.bsky.social
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/
blackboxnlp.bsky.social
Check out the full task description: blackboxnlp.github.io/2025/task/

Important dates:
🗓️ Deadline for results: August 1
📄 Technical report: August 8

Join the discord server: discord.gg/n5uwjQcxPR
BlackboxNLP 2025
The Eight Workshop on Analyzing and Interpreting Neural Networks for NLP
blackboxnlp.github.io
blackboxnlp.bsky.social
The Circuit Localization Track benchmarks methods for discovering causal circuits, subgraphs of a model responsible for specific behavior.

These methods typically:
• Score model components or edges
• Ablate all but the top-ranked ones
• Evaluate the performance of the resulting subgraph
blackboxnlp.bsky.social
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 >>