🧑‍🔬 Huizhi Liang

🏛️ Affiliations

🎓Newcastle UniversityNewcastle upon Tyne · United Kingdom2021–2026 · 72 papersEmployment since 2022current🎓Tsinghua UniversityBeijing · China2026 · 2 paperscurrent🏢Microsoft Research AsiaBeijing · China2026 · 1 papercurrent🎓University of ReadingReading · United Kingdom2017–2023 · 15 papersEmployment 2017–2021 · Lecture, Department of Computer Science🎓Queensland University of TechnologyBrisbane · Australia2007–2014 · 14 papersEducation 2007–2011 · PhD🎓The University of MelbourneMelbourne · Australia2014–2016 · 7 papersEmployment 2014–2016 · Postdoctoral Research Fellow, Computing and Information Systems🎓Australian National UniversityCanberra · Australia2012–2015 · 5 papersEmployment 2012–2014 · Postdoctoral Research Fellow, Research School of Computer Science🎓Albert Einstein College of MedicineBronx · United States2024–2025 · 3 papers

🏛️Sorbonne Université Campus Pierre et Marie CurieParis · France2016–2017Employment 2016–2017 · Postdoctoral Research Fellow, LIP6

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection (2022 · 4 citations)
   The paper presents the UoR-NCL entry to iSarcasmEval (SemEval-2022 Task 6, sub-task A), a binary task of deciding whether English or Arabic tweets are sarcastic.
2. NCL at SemEval-2026 Task 8: Deterministic Small-LLM RAG with Relation Classification (2026 · 1 citation)
   This paper describes Newcastle University's entry to SemEval-2026 Task 8B, the generation track of MTRAGEval.
3. SemEval-2026 Task 12: Knowledge Graph with hyperbolic embedding in Abductive Event Reasoning (2026 · 1 citation)
   The paper describes a system for SemEval-2026 Task 12, Abductive Event Reasoning (AER). Given a real-world news event and a set of retrieved documents, some of them distractors, a model must pick the most plausible direct cause from four candidate options (A–D). More than one option can be correct. The authors…
4. KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge (2026)
   Hallucination benchmarks often rely on fixed question sets and short or multiple-choice formats. These go stale, cover a narrow slice of knowledge, and rarely test how deeply a model knows a topic. KGHaluBench addresses this by building questions dynamically from Wikidata. It samples random entities, balancing very…
5. Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMs (2026)
   Self Consistency (SC) samples many reasoning chains and returns the most common answer. It breaks down on hard math problems, where wrong answers outnumber right ones. The authors borrow an idea from computer graphics, Metropolis Light Transport, which concentrates sampling near light paths already known to carry…

All works

7 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents ↗Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) · no summary yetJunzhe Zhao et al.2023 · 5 citations
2. nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation ↗Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) · no summary yetNicolay Rusnachenko, Thanet Markchom, Huizhi Liang2023 · 4 citations
3. UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detectionInternational Workshop on Semantic Evaluation (SemEval)Emmanuel Osei-Brefo, Huizhi Liang2022 · 4 citations
4. NCL at SemEval-2026 Task 8: Deterministic Small-LLM RAG with Relation ClassificationInternational Workshop on Semantic Evaluation (SemEval)Zehao Liu, Huizhi Liang2026 · 1 citation
5. SemEval-2026 Task 12: Knowledge Graph with hyperbolic embedding in Abductive Event ReasoningInternational Workshop on Semantic Evaluation (SemEval)Mingkai Wang, Varun Ojha, Huizhi Liang2026 · 1 citation
6. KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM KnowledgeFindings of the Association for Computational LinguisticsAlex Robertson, Huizhi Liang, Mahbub Gani, et al.2026
7. Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMsFindings of the Association for Computational LinguisticsXiaoyang Liu, Dawei Wang, Tian Li, et al.2026

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Dawei Wang
• Gary Ushaw
• Richard Davison
• Xiaoyang Liu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• International Workshop on Semantic Evaluation (SemEval) ×6: SemEval 2026 ×2, SemEval 2022
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2

🔗 Cited by

Papers of our library cite their works 10 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/huizhi-liang/