CausalNLP

2️⃣ Causal AI Scientist: an autonomous agent that performs end-to-end causal inference from a dataset, its description, and a causal query. 🔗 drive.google.com/file/d/1KvxAVI…

1️⃣ CauSciBench: a benchmark assessing whether LLM agents 🤖 can answer scientific causal questions by navigating an end-to-end causal inference pipeline. 🔗 drive.google.com/file/d/17isFKv…

Introducing the latest research highlights from @JinesisLab at the Dagstuhl seminar on Causal LLMs! 1️⃣ CauSciBench: Evaluating LLM Causal Inference for Scientific Research 2️⃣ Causal AI Scientist: Facilitating Causal Data Science with LLMs 🔗 cr-llm.github.io 1/n

We are hosting a Dagstuhl seminar on Causality & LLMs this week (Apr 7–10). Bringing together world experts to explore: 1️⃣ Integrating LLMs 🤖 into causal workflows 2️⃣ Evaluating & improving LLMs’ causal reasoning 🧠 Co-organized w/ @amt_shrma @DominikJanzing @kunkzhang @ZhijingJin 📍Schloss Dagstuhl, Wadern, Germany 🔗 dagstuhl.de/26152 📖 cr-llm.github.io 📅 Apr 7–10 #CausalNLP #LLM #Dagstuhl @CausalNLP @MPI_IS @ELLISforEurope @UofTCompSci @VectorInst @TorontoSRI @CIFAR_News @JinesisLab @EuroSafeAI @ELLISInst_Tue Also joined with my student @rahulbshrestha to present our CauSciBench and Causal AI Scientist work :)!

Our CausalNLP Tutorial🎙️video and 🎞️slides are out! #EMNLP2022 @emnlpmeeting Curious about (1) What Is Causality? and (2) How Causality Can Help #NLProc? Check out our #EMNLP2022 Tutorial with @ZhijingJin @amir_feder @kunkzhang 📺Video: youtu.be/4bq1ZYxXbtg

Curious about "What is Causality & How can it help NLP"? Vote for your top interest areas to hear more about it during our #emnlp2022 Tutorial!

A nice python-based causal discovery package by Prof Kun Zhang and his CMU team 👍