I am Zhitian Hou (侯智天), a first-year PhD student at The Hong Kong Polytechnic University, advised by Prof. Hongxia Yang. I received my Master’s degree in Computer Technology from SYSU in 2026, advised by Prof. Kun Zeng. Prior to this, I received my Bachelor’s degree in 2023 from SCNU, where I studied in the TAM Lab under the supervision of Prof. Tianyong Hao. My current research interests lie primarily in Multimodal Large Language Models (MLLMs) and Diffusion Large Language Models (DLLMs).
🔥 News
- 2026.09: 🎉 One paper is accepted by NeurIPS 2026.
- 2026.08: 🎉 One paper is accepted by EMNLP 2026.
- 2025.07: 🎉 One paper is accepted by IEEE SMC Conference 2025.
- 2025.04: 🎉 One paper is accepted by CogSci 2025.
📝 Publications
🩺 Medical (M)LLM
Evaluating Counterfactual Sensitivity to Patient Information in Medication-Safety Reasoning
Zhitian Hou, Yuhang Liu, Pengkai Wang et al.
- We introduce MedPIC-Bench, which shows that general and medical-specific LLMs often know medication-safety rules but fail to apply or withdraw them appropriately when patient information changes.
InfiMed-Foundation: Pioneering Advanced Multimodal Medical Models with Compute-Efficient Pre-Training and Multi-Stage Fine-Tuning
Guanghao Zhu, Zhitian Hou, Zeyu Liu, Zhijie Sang, Congkai Xie, Hongxia Yang
- Multimodal large language models (MLLMs) have shown remarkable potential in various domains, yet their application in the medical field is hindered by several challenges. General-purpose MLLMs often lack the specialized knowledge required for medical tasks, leading to uncertain or hallucinatory responses …
InfiMed: Low-Resource Medical MLLMs with Advancing Understanding and Reasoning
Zeyu Liu$^*$, Zhitian Hou$^*$, Guanghao Zhu, Zhijie Sang, Congkai Xie, Hongxia Yang
- In this work, we introduce the InfiMed-Series models, including InfiMed-SFT-3B and InfiMed-RL-3B, a set of multimodal large language models (MLLMs) specialized for medical tasks.
NeurIPS 2026NPCBench: A Clinical Apprenticeship Benchmark for Guideline-Constrained Care-Pathway Reasoning in Nasopharyngeal Carcinoma, Pengkai Wang, Wei-Wei Zhang, Yan Li, Min Tang, Zhitian Hou et al.
⚖️ Legal AI
Large Language Models Meet Legal Artificial Intelligence: A Survey
Zhitian Hou, Zihan Ye, Nanli Zeng, Tianyong Hao, Kun Zeng
- This paper provides a comprehensive review of 16 legal LLMs series and 47 LLM-based frameworks for legal tasks, and also gather 15 benchmarks and 29 datasets to evaluate different legal capabilities. Additionally, we analyse the challenges and discuss future directions for LLMbased approaches in the legal domain.
KnowJudge: A Knowledge-Driven Framework for Legal Judgment Prediction
Zhitian Hou, Jinlin Li, Ge Lin, Kun Zeng
- We proposed KnowJudge, a knowledge-driven cognitive simulation framework and introduces the Law Keyword Recognition (LKR) dataset.
EMNLP 2026Generating Complete Court Judgments with Large Language Models: A Study on CMML, Zhongyi Guan, Zhitian Hou, Nanli Zeng, Kun ZengArxiv 2026Exploring Lightweight Large Language Models for Court View Generation, Zhitian Hou, Tianyong Hao, Nanli Zeng, Zhixiong Chao, Kun ZengArxiv 2025ShiZhi: A Lightweight Large Model for Court View Generation, Zhitian Hou, Kun Zeng
Others
Arxiv 2026FusionEval: Benchmarking Model Fusion for Large Language Models, Shuo Cai, Yanggan Gu, Yuhang Liu, Su Lu, Yuanyi Wang, Yang Yu, Zhen Li, Zhitian Hou, Guanghao Zhu, Ming Li, Hongxia YangIEEE SMC Conference 2025QCSH: Quantization Controlled Semantic Hashing for Effective Similar Text Search, Zihan Ye, Zhitian Hou, Ge Lin, Kun ZengDigital HealthHomogeneous ensemble models for predicting infection levels and mortality of COVID-19 patients: Evidence from China, Jiafeng Wang$^*$, Xianlong Zhou$^*$, Zhitian Hou$^*$, et al.
🎖 Honors and Awards
- 2024.09 First-Grade Scholarship, SYSU
- 2023.06 Outstanding Graduate, SCNU
- 2023.06 37 Interactive Entertainment Scholarship, 37 Interactive Entertainment
- 2023.04 First-Grade Scholarship, SCNU
- 2022.10 “Intelligent Base” Future Star Scholarship，Ministry of Education & Huawei
- 2021.04 First-Grade Scholarship, SCNU
- 2021.04 Finalist (F Award), Mathematical Contest in Modeling (MCM), COMAP
📖 Educations
- 2026.09 - present, PhD, Department of Computing, The Hong Kong Polytechnic University.
- 2023.09 - 2026.06, Master, Computer Technology, School of Computer Science and Engineering, Sun Yat-sen University.
- 2019.09 - 2023.06, Undergraduate, Artificial Intelligence, School of Computer Science, South China Normal University.