[CFP: NeurIPS 2024 Causality Workshop]

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Ching Lam Choi

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Aug 18, 2024, 11:45:16 PM8/18/24
to Women in Machine Learning
Dear WiML,

We are thrilled to announce the Causality and Large Models (C❤️LM) Workshop at NeurIPS 2024. We are inviting submissions of 4-6 pages on the following topics:
  • Causality in large models: Assessing the causal knowledge captured by large models and their (causal) reasoning abilities.
  • Causality for large models: Applying ideas from causality to augment and improve large models.
  • Causality with large models: Leveraging large models to improve causal inference and discovery.
  • Causality of large models: Investigating the causal structure of how large models work and how to make them more interpretable and controllable.
The submission deadline is by September 06, 2024, AoE on OpenReview.
Additionally, if you'd like to sign up as a reviewer for the workshop, please fill in this form.

For more information please visit our website or contact us at calmwork...@gmail.com.

Best wishes,
C❤️LM organisers

Felix Leeb [MPI-IS], Ching Lam Choi [MIT], Luigi Gresele [UCPH], Andrei Nicolicioiu [Mila, UdeM], Xiusi Li [Mila, McGill], Sophie Xhonneux [Mila, UdeM], Patrik Reizinger [MPI-IS], Josef Valvoda [UCPH], Haoxuan Li [PKU], Mengyue Yang [UCL], and Dhanya Sridhar [Mila, UdeM], Bernhard Schölkopf [MPI-IS, ELLIS]
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