Jinman Zhao

jzhao@cs.toronto.edu

About Me

Jinman

I graduated with the Honours Bachelor of Science at the University of Toronto with Computer Science Specialist and Math Minor. I was supervised by Gerald Penn and Roger Grosse during my undergrad.

When I graduated, I won Rose Sheinin Award and St.Michael College Gold Medals. I Nominated by the Governor General’s Silver Medals. Here are the links: link, link.

Now I am last year PhD candidate in the Department of Computer Science at University of Toronto, supervised by Gerald Penn. I am actively exploring postdoctoral and assistant professor opportunities in NLP/LLM.

Resume

Research and Interests

Language Modelling, Grammars, AI system optimizing, Math.

Publications:

Video-to-Audio Generation with Diffusion Transformer and Semantic-Temporal Alignment-Ranked DPO. Kai Wang, Tao Zhou, Jiayi Lei, Jing Wang, Jinman Zhao et al. CVPR 2026

Teaching VLMs to Admit Uncertainty in OCR. Shuhao Guan, Moule Lin, Cheng Xu, Jinman Zhao and Derek Greene. ICLR 2026

Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models. Jinman Zhao et al. AAAI 2026

Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning.Jinman Zhao, Xueyan Zhang et al. EMNLP 2025

Pretraining on the Test Set Is No Longer All You Need: A Debate-Driven Approach to QA Benchmarks.Linbo Cao* and Jinman Zhao*. COLM 2025

An Efficient Parser for Bounded-Order Product-Free Lambek Categorial Grammar via Term Graph. Jinman Zhao and Gerald Penn. IWPT 2025

UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter Efficient Fine-Tuning of Large Models.Jinman Zhao* and Xueyan Zhang*, et al. ACL 2025

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. Zhiyuan Hu, Yuliang Liu, Jinman Zhao, et al. ACL 2025

Low-Rank Interconnected Adaptation across Layers. Yibo Zhong, Jinman Zhao and Yao Zhou. Findings of ACL 2025

PolyMorphous: An MLIR-Based Polyhedral Compiler with Loop Transformation Primitives. Jinman Zhao, A. Wang, A. Vahabpour, X. Yue and T.Abdelrahman. IPDPS 2025 (best paper nomination)

Inside-Outside Algorithm for Probabilistic Product-Free Lambek Categorial Grammar.Jinman Zhao and Gerald Penn. COLING 2025

Categorial Grammar Suppertagging via Large Language Model.Jinman Zhao and Gerald Penn. EMNLP 2024

Large Language Model is not a (Multilingual) Compositional Relation Reasoner.Jinman Zhao* and Xueyan Zhang*. COLM2024

CD_Pos:Long Context Generalization in LLMs Through Continuous and Discrete Position Synthesis.Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Wangyan, Wei Shen, Chao Yin, Bryan Hooi. LCFM@ICML2024

GPT-Signal: Generative AI for Semi-automated Feature Engineering in the Alpha Research Process. Yining Wang, Jinman Zhao and Lawryshyn Yuri. FINNLP-AGENTSCEN@IJCAI2024

A Generative Model For Lambek Categorial Sequents. Jinman Zhao and Gerald Penn. COLING 2024.

A Generative Process for Lambek Categorial Proof Nets. Jinman Zhao and Gerald Penn. MOL2021.

Structural Realization with GGNNs. Jinman Zhao and Gerald Penn. 2021. TEXTGRAPHS@NAACL 2021.

Talks:

A Generative Process for Lambek Categorial Proof Nets. @ MOL2021

Structural Realization with GGNNs. @ Textgraphs @ NAACL2021

A TVM IR to MLIR Automatic Converter: Bridging TVM with MLIR ecosystem. @ TVM Conf 2020

Teaching Assistant

Introduction to Machine Learning.

Algorithms.

Data structures.

Calculus I&II.

Linear Algebra.

Resume

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