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Jiazheng LiI am a PhD candidate in Natural Language Processing at King's College London's NLP group, supervised by Prof. Yulan He. My PhD is funded by the AQA, where I focuses on developing explainable, large‑language‑model systems for automated student‑answer scoring. Before my PhD, I graduated with a First-Class honours bachelor’s degree in computer science from the University College Dublin in 2021.
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Research
For a complete list of my publications and patents, please see my Google Scholar profile.
Research Interests:
Machine Learning
Natural Language Processing
Large Language Models
Explainability: rationale generation, uncertainty estimation, mechanistic interpretability
Alignment: preference optimisation, inference‑time reinforcement learning
Applications: autonomous agents, multimodality, role-play, educational assessment
Find me online: GitHub Huggingface LinkedIn Twitter
I'm actively looking for research internships. CV can be provided upon request.
News
May 2025: Three papers accepted at ACL 2025.
May 2025: One paper accepted at ICML 2025.
May 2025: Gave a panel talk at Industry Placements Student Panel at King's Doctroal College.
Feb 2025: Two papers related to rationale generation accepted at AAAI 2025.
Jan 2025: My research has been featured in the KCL News.
Dec 2024: One paper on assessment rationale alignment accepted for oral presentation at NeurIPS 2024 FM-EduAssess.
Nov 2024: Named as one of the outstanding reviewers at EMNLP 2024.
Nov 2024: Three papers centered on preference optimisation and interpretability accepted at EMNLP 2024. (Explainable Student Assessment, Preference Optimisation, ICL Interpretability)
Aug 2024: One dataset on complex narrative relation understanding accepted to ACL 2024.
Jun 2024: Gave a talk at the TLDR Group, Imperial College London.
May 2024: Delivered a seminar on interpretable text classification at CGI.
Mar 2024: One paper on role-playing demo system accepted at EACL 2024.
Mar 2024: Gave a talk on explainable student answer assessment at the ALTA group, University of Cambridge.
Mar 2024: One demo system accepted at AAAI 2024.
Dec 2023: One workshop paper on batched zero-shot query LLMs accepted at NeurIPS 2023 R0-FoMo.
Dec 2023: One paper on explainable student answer assessment presented at EMNLP 2023.
Dec 2023: Gave a talk at MMLM.
Sep 2023: Gave a presentation and panel talk at BERA 2023 on AI assessment.
Aug 2023: One paper on uncertainty interpretation accepted as spotlight presentation at UAI 2023.
May 2023: Presented two posters at the UKAI Fellows Conference.