Informative Text Generation from Knowledge Triples. - Zihao Fu; Yijiang River Dong; Lidong Bing; Wai Lam (CoRR, 2022)

CORRPUS: Detecting Story Inconsistencies via Codex-Bootstrapped Neurosymbolic Reasoning. - Yijiang River Dong; Lara J. Martin; Chris Callison-Burch (CoRR, 2022)

CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding. - Yijiang River Dong; Lara J. Martin; Chris Callison-Burch (ACL (Findings), 2023)

Can LLM be a Personalized Judge? - Yijiang River Dong; Tiancheng Hu; Nigel Collier (EMNLP (Findings), 2024)

Unmemorization in Large Language Models via Self-Distillation and Deliberate Imagination. - Yijiang River Dong; Hongzhou Lin; Mikhail Belkin; Ramón Huerta; Ivan Vulic (CoRR, 2024)

UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models. - Yijiang River Dong; Hongzhou Lin; Mikhail Belkin; Ramón Huerta; Ivan Vulic (NAACL (Long Papers), 2025)

When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning. - Yijiang River Dong; Tiancheng Hu; Yinhong Liu; Ahmet Üstün; Nigel Collier (CoRR, 2025)

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law. - Zheng Hui; Yijiang River Dong; Ehsan Shareghi; Nigel Collier (CoRR, 2025)