Tianyi Zhang /<br>张天怡

Tianyi Zhang /
张天怡

Expertise in Natural Language Processing,
Cognitive Science

Background

I am the ideal match for your needs, if you're seeking students with a robust foundation in:
Natural Language Processing, Human Cognition, and STEM Education.

I am passionate about developing anthropomorphic agents to support underprivileged populations. My endeavors modify current black-box language models (LMs) to emulate human understanding and reasoning procedure. Specifically, my research directs LMs to construct and reason with structured and symbolic representations from unstructured text.

To know more about my research experience, please check my CV and SOP.

My research efforts include:

  1. Pretraining language models through a text-knowledge graph reconstruction loop.
  2. Translating natural language text into symbolic representations.
  3. Extracting events and inducing event schemas from natural language text.

My research interests include:

  1. Reasoning in Natural/Symbolic Language
  2. Language Model Pretraining
  3. Interdisciplinary in NLP, CV, and Robotics

Publications

  1. Pretraining Language Models with NL-KG-NL Reconstruction Loop. In writing 2025
    Zhang, T., Mai, F., Pan, R., Flek, L.
    paper
  2. PROC2PDDL: Open-Domain Planning Representations from Texts. NLRSE@ACL 2024
    Zhang, T.*, Zhang, L.*, Hou, Z., Wang, Z., Gu, Y., Clark, P., Callison-Burch, C., and Tandon, N.
    paper poster oral
  3. PDDLEGO: Iterative Planning in Textual Environments. *SEM 2024
    Zhang, L., Jansen, P., Zhang, T., Clark, P., Callison-Burch, C., Tandon, N.
    paper oral
  4. WorldWeaver: Procedural World Generation for Text Adventure Games. Wordplay@ACL 2024
    Jin, M., Kaul, M., Ramakrishnan, S., Jain, H., Chandrawat, S., Agarwal, I., Zhang, T., Zhu, A., Callison-Burch, C.
    paper
  5. Human-in-the-Loop Schema Induction. ACL Demo 2023
    Zhang, T.*, Tham, I. *, Hou, Z. *, Ren, J., Zhou, L., Xu, H., Zhang, L., Martin, L., Dror, R., Li, S., Ji, H., Palmer, M., Brown, S., Suchocki, R., and Callison-Burch, C.
    paper poster oral
  6. Question-Answering Data Augmentation for Argument Role Labeling. 2022
    Zhang, T., Sulem, E., Roth, D.
    paper

Education