Zhijing Jin

@zhijingjin.bsky.social

Assi. Prof @UofTCompSci. Postdoc @MPI_IS w/ @bschoelkopf. Research on (1) @CausalNLP and (2) NLP4SocialGood @NLP4SG. Mentor & mentee @ACLMentorship.

🏛️Can we trust #LLMs to value democracy? Check our paper "Democratic or Authoritarian? Probing a New Dimension of Political Biases in LLMs". We find Llama4 has a stronger authoritarian bias, and all models show more bias in Mandarin than in English📜http://arxiv.org/abs/2506.12758 #AIBias #Democracy

Bild

📷 Check out our new position paper on how #LLM Agents can benefit frontier Theoretical Physics. We cover 🚀Current progress & key gaps ⚛️Potential for automating the Hypothesis-Verification cycle of scientific discovery 🔧Need for physics-specialized LLMs+tailored tool ecosystems

Can Theoretical Physics Research Benefit from Language Agents?

Large Language Models (LLMs) are rapidly advancing across diverse domains, yet their application in theoretical physics research is not yet mature. This position paper argues that LLM agents can poten...

arxiv.org

Honored to be selected for the Heidelberg Laureate Forum 2025! After attending Lindau Nobel Meeting (2024), grateful for another chance to learn from pioneers—#LINO24 for Physics Nobelists, now #HLF25 for CS/Math legends (Fields Medalists, Turing winners, ...). Really humbled!🙏

Bild