Selected Publications

Automated fact-checking systems often struggle with trustworthiness, as their generated explanations can include hallucinations. In this work, we explore evidence attribution for fact-checking explanation generation. We introduce a novel evaluation protocol, citation masking and recovery, to assess attribution quality in generated explanations. We implement our protocol using both human annotators and automatic annotators, and find that LLM annotation correlates with human annotation, suggesting that attribution assessment can be automated. Finally, our experiments reveal that: (1) the best-performing LLMs still generate explanations with inaccurate attributions; and (2) human-curated evidence is essential for generating better explanations. [paper / code]

Climate change is an existential threat to humanity, the proliferation of unsubstantiated claims relating to climate science is manipulating public perception, motivating the need for fact-checking in climate science. In this work, we draw on recent work that uses retrieval-augmented generation for veracity prediction and explanation generation, in framing explanation generation as a query-focused multi-document summarization task. [paper / code]

We construct BioRel, a large-scale dataset for biomedical relation extraction problem, by using Unified Medical Language System as knowledge base and Medline as corpus. [paper / data]

Distant supervised relation extraction is an efficient and effective strategy to find relations between entities in texts. However, it inevitably suffers from mislabeling problem and the noisy data will hinder the performance. In this paper, we propose the Separate Head-Tail Convolution Neural Network (SHTCNN), a novel neural relation extraction framework to alleviate this issue. [paper / code]

Selected Honors

Teaching

Tutor

Service

Miscellaneous

• 2023-08: UniMelb Open Day Volunteer, University of Melbourne
• 2022-12: ALTA 2022 Student Volunteer, ALTA
• 2022-11: SuperHack 2022 Student Mentor, University of Melbourne
• 2022-11: Victorian Young Leaders: Global Youth Forum Volunteer Mentor Student Mentor
• 2022-08: UniMelb Open Day Volunteer, University of Melbourne
• 2022-07: UniMelb Orientation Volunteer, University of Melbourne
• 2022-05: Victorian Young Leaders: Global Youth Forum Volunteer Mentor Student Mentor
• 2022-03: Engineering & IT Case Competition Volunteer, University of Melbourne
• I am a member of Beijing Volunteer Service Federation (BVF).