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Research interests

natural language processing, large language models, computational social science, machine learning, AI safety, causal inference ; causal methods for NLP, AI safety, multi-agent LLMs, responsible AI, causal effects from text, LLM benchmarking, AI for science, epistemology

About

Biography

Zhijing Jin is Assistant Professor at the University of Toronto, affiliated with Computer Science. This summary considered 2 collected sources. Listed research or teaching areas include natural language processing, large language models, computational social science, machine learning, AI safety, causal inference ; causal methods for NLP, AI safety, multi-agent LLMs, responsible AI, causal effects from text, LLM benchmarking, AI for science, epistemology.

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