Actionable Interpretability Workshop @COLM 2026

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BIO

🛠️ Actionable Interpretability🔎 COLM 2026 & ICML 2025 | Bridging the gap between insights and actions ✨ https://actionable-interpretability.github.io

@ActInterp

Top followers

#382

Robin Jia

@robinomial

Assistant Professor @CSatUSC | Previously Visiting Researcher @facebookai | Stanford CS PhD @StanfordNLP

#475

Yonatan Belinkov @COLM

@boknilev

Associate professor of computer science @TechnionLive.

#478

Sarah Wiegreffe

@sarahwiegreffe

Research in NLP & trustworthy ML (mostly interpretability). Trying to make LMs more transparent, reliable, & safe. Assistant prof @umdcs @clipumd Views my own.

#507

Ivan Titov

@iatitov

Professor of Natural Language Processing and ML at Uni Edinburgh / Uni Amsterdam

#585

Kyle Lo @ COLM2026

@kylelostat

language models, mts @MicrosoftAI, prev co-lead of Olmo @allen_ai, @uwcse, he/him, http://kylelo.bsky.social🧋

#742

Aryaman Arora

@aryaman2020

member of technical staff @stanfordnlp

#995

tom white

@dribnet

creations with code and networks

#1039

Ian Tenney

@iftenney

Staff Research Scientist, Google DeepMind. Interpretability, analysis, and visualizations for LLMs. Opinions my own.

#1347

Mor Geva

@megamor2

Assistant Professor at @TelAvivUni and Research Scientist at @Irregular; previously at @GoogleResearch, @GoogleDeepMind and @allen_ai

#1570

byron wallace

@byron_c_wallace

Prof @Northeastern in Computer Science. NLP / ML / + Health &etc. he/him.

#1654

Qinyuan Ye @ COLM

@qinyuan_ye

☁️ Research Scientist @SFResearch | 🐾 Teaching machines to be versatile and curious. | Prev @nlp_usc