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We continue with our first oral presentation of the day, with Stefan Arnold presenting their work on "Routing in Sparsely-gated Language Models responds to Context" aclanthology.org/2024.blackboxn…

I’m giving a talk about this paper today in the 3- 3:30 session BlackboxNLP (Jasmine ballroom) and will stick around for the afternoon poster session as well. Would love to hear your opinions 😊

After an inspiring keynote by 𝙷𝚒𝚖𝚊 𝙻𝚊𝚔𝚔𝚊𝚛𝚊𝚓𝚞, we continue with an oral presentation by Tom Lieberum 🔸 on "Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2" aclanthology.org/2024.blackboxn…

We wrap up the day with a panel on the state of interpretability with 4 fantastic panellists: Jack Merullo, Dieuwke Hupkes, Marius Mosbach and Vera Liao!

Panel discussion at blackboxNLP with Jack Merullo Dieuwke Hupkes Marius Mosbach Vera Liao moderated by Hanjie Chen #EMNLP2024 BlackboxNLP

🚀✨ Our Political-LLM is now live on arXiv! ✨🚀 🤝 A collaboration of 40+ researchers across ML and PoliSci exploring how LLMs are revolutionizing political science research 🔗 arxiv.org/abs/2412.06864 #AI #PoliticalScience #LLM #ML

Re: “Every major breakthrough in AI has been American”: America does itself no favors when it overestimates its specialness. Yes, the center of the AI industry is the US (California!), but many of the breakthroughs of (neural, gradient-based) AI happened elsewhere: • LSTMs,

How do LLMs work? What is it about the recently-announced DeepSeek technology that has changed the way people think about building large AI models? Join us for the answers to these questions and more. Co-sponsored by Rice CS & The Ken Kennedy Institute. RSVP: RiceGenAI.eventbrite.com

Haotian did amazing work during his visit to my lab Rice Computer Science. He’s a special student with a background in both CS and Sports (as a former NCAA Division I student-athlete🏐) He introduced me to the AI for Sports area, and I’m excited to explore more with him moving forward!🏃‍♀️

Lots of progress in mech interp (MI) lately! But how can we measure when new mech interp methods yield real improvements over prior work? We propose 😎 𝗠𝗜𝗕: a Mechanistic Interpretability Benchmark!

Please check @ChangRuidi53250's work using a small inference network to control the learning behavior of LMs. Talk to her if you are also at #NAACL2025! 😃😃😃

My student Ruidi Chang will present her first work "SAFR: Neuron Redistribution for Interpretability" at #NAACL2025✨🥳 📍Hall 3, Session B: Oral/Poster 1, Wednesday 4/30/2025, 11:00-12:30 Come and say hi~👋

Happy to announce that we (w/ my student Daking Rai ) will present a tutorial on 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐭𝐢𝐜 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐟𝐨𝐫 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬! Look forward to meeting people ICML Conference Stay tuned! ziyu-yao-nlp-lab.github.io/ICML25-MI-Tuto… George Mason University Department of Computer Science - George Mason

Since people have been asking - the #blackboxNLP workshop will return this year, to be held with #emnlp2025. This workshop is all about interpreting and analyzing NLP models (and yes, this includes LLMs). More details soon, follow BlackboxNLP

BlackboxNLP will be co-located with #EMNLP2025 in Suzhou this November! 📷This edition will feature a new shared task on circuits/causal variable localization in LMs, details: blackboxnlp.github.io/2025/task If you're into mech interp and care about evaluation, please submit!

📢Announcing 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐰𝐨𝐫𝐤𝐬𝐡𝐨𝐩 𝐨𝐧 𝐭𝐡𝐞 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐋𝐋𝐌 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐭𝐨 𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 at Conference on Language Modeling! We welcome perspectives from LLM, XAI, and HCI! CFP (Due June 23): …reasoning-planning-workshop.github.io

🥳We are organizing a workshop at COLM to discuss the research gap about applying explainability/interpretability to enhance LLMs in challenging reasoning and planning tasks! Check out our tentative schedule at …reasoning-planning-workshop.github.io **Submit your excellent work to us!**

🎓🎉🥳🐦🔜🦉💙