Zhen Wu
Welcome to my website! :-)
I’m a PhD student at the Language Technologies Institute, School of Computer Science at Carnegie Mellon University. I’m fortunate to be advised by Professor Carolyn Rosé.
My research agenda is driven by a core question: How can we understand, guide, and evaluate model reasoning behaviors?
- Understanding how models encode information in the latent space.
- Analyzing failure modes to uncover why model behaviors diverge from expectations.
- Developing methods to steer model behaviors toward better alignment and transparency.
- Designing evaluation frameworks that provide fine-grained insights into model reasoning processes.
Previously, I obtained my B.S. degree in Computer Science and Mathematics with Honors from the University of Pittsburgh.
Fun fact about me: I was trained as a professional singer (similar to Bel canto). I also play flute, the cucurbit flute, and piano for fun. Sometimes I also read mysteries and watch classical concerts.
News
| Dec 22, 2025 | Our IJCNLP-AACL paper: R²-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation won the 🏆 Outstanding Paper Award! |
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| Oct 25, 2025 | Paper about understanding text-graph representational complementarity in relational reasoning accepted to IJCNLP-AACL! |
| Aug 25, 2025 | First day as a PhD student at CMU LTI! |
| Aug 08, 2025 | Gave my MLT talk on Text-Graph representation complementarity [slides]. |
| Mar 11, 2025 | Paper about llm-powered multi-party collaboration infrastructure for supporting collaborative learning accepted to CSCL! |
| Jun 27, 2024 | Invited talk about evaluating LLM social signal sensitivity @ Disney Research Group [slides]. |
| Jun 17, 2024 | Paper about evaluating LLMs on sensitivity to language framing to elicit role-oriented social behaviors accepted to HuLLM workshop @ ACL! |
| May 16, 2024 | Paper about leveraging machine-generated rationales to facilitate generalization in conversations accepted to ACL! |
| Aug 28, 2023 | First day as an MLT student at CMU LTI! |