Publications
CauSciBench: Can LLMs Automate Causal Inference in Real-World Scientific Research?
Sawal Acharya, Terry Jingchen Zhang, Andrew Kim, Rahul Babu Shrestha, Xianlin Sun, Pepijn Cobben, Maximilian Mordig, , Anahita Haghighat, Furkan Danisman, Yuen Chen, Clijo Jose, Andrei Ioan Muresanu, Justin Cui, Jiarui Liu, Yahang Qi, Punya Syon Pandey, Yinya Huang, Bernhard Schölkopf, Zhijing Jin
ICML'26 | International Conference on Machine Learning
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Causal AI Scientist: Towards End-to-End Causal Inference with Large Language Models
Sawal Acharya, Rahul Babu Shrestha, , Vishal Verma, Devansh Bhardwaj, Samuel Simko, Punya Syon Pandey, Anahita Haghighat, Yongjin Yang, Dominik Janzing, Mrinmaya Sachan, Bernhard Schölkopf, Zhijing Jin
ICML'26 Workshop | Workshop on AI for Math, CS & ML
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A Multimodal Recaptioning Framework to Account for Perceptual Diversity Across Languages in Vision-Language Modeling
Kyle Buettner, , Adriana Kovashka
IJCNLP-AACL'25 | International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics
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Towards Automated Scoping of AI for Social Good Projects
, Rayid Ghani, Ryan Shi
preprint
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