Zhijing Jin
@zhijingjin.bsky.social
Assi. Prof @UofTCompSci. Postdoc @MPI_IS w/ @bschoelkopf. Research on (1) @CausalNLP and (2) NLP4SocialGood @NLP4SG. Mentor & mentee @ACLMentorship.
Great collaboration across MPI for Quantum Optics, MPI for Intelligent Systems, @uoft.bsky.social @vectorinstitute.ai @eth-ai-center.bsky.social !
June 10, 2025 at 12:24 PM
Great collaboration across MPI for Quantum Optics, MPI for Intelligent Systems, @uoft.bsky.social @vectorinstitute.ai @eth-ai-center.bsky.social !
🤝Call for AI-physics collaboration in symbiosis
Link: arxiv.org/abs/2506.06214
By Sirui Lu, @zhijingjin.bsky.social @terryjczhang.bsky.social , Pavel Kos, Ignacio Cirac, Bernhard Schölkopf.
Link: arxiv.org/abs/2506.06214
By Sirui Lu, @zhijingjin.bsky.social @terryjczhang.bsky.social , Pavel Kos, Ignacio Cirac, Bernhard Schölkopf.
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
June 10, 2025 at 12:24 PM
🤝Call for AI-physics collaboration in symbiosis
Link: arxiv.org/abs/2506.06214
By Sirui Lu, @zhijingjin.bsky.social @terryjczhang.bsky.social , Pavel Kos, Ignacio Cirac, Bernhard Schölkopf.
Link: arxiv.org/abs/2506.06214
By Sirui Lu, @zhijingjin.bsky.social @terryjczhang.bsky.social , Pavel Kos, Ignacio Cirac, Bernhard Schölkopf.
We evaluated 19 LLMs:
🚫 Most don’t align with human values
✅ Surprisingly, no strong “language inequality”: low-resource languages show similar alignment with human values as high-resource ones
💻Code: github.com/causalNLP/mu...
🙌 Huge thanks to our amazing co-authors and institutional support!
🚫 Most don’t align with human values
✅ Surprisingly, no strong “language inequality”: low-resource languages show similar alignment with human values as high-resource ones
💻Code: github.com/causalNLP/mu...
🙌 Huge thanks to our amazing co-authors and institutional support!
GitHub - causalNLP/MultiTP
Contribute to causalNLP/MultiTP development by creating an account on GitHub.
github.com
April 14, 2025 at 4:05 PM
We evaluated 19 LLMs:
🚫 Most don’t align with human values
✅ Surprisingly, no strong “language inequality”: low-resource languages show similar alignment with human values as high-resource ones
💻Code: github.com/causalNLP/mu...
🙌 Huge thanks to our amazing co-authors and institutional support!
🚫 Most don’t align with human values
✅ Surprisingly, no strong “language inequality”: low-resource languages show similar alignment with human values as high-resource ones
💻Code: github.com/causalNLP/mu...
🙌 Huge thanks to our amazing co-authors and institutional support!