Yijiang River Dong

According to our database, Yijiang River Dong authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Steer Model beyond Assistant: Controlling System Prompt Strength via Contrastive Decoding.

Yijiang River Dong, Tiancheng Hu, Zheng Hui, Nigel Collier

CoRR, January, 2026

Confidence Estimation for LLMs in Multi-turn Interactions.

Caiqi Zhang, Ruihan Yang, Xiaochen Zhu, Chengzu Li, Tiancheng Hu, Yijiang River Dong, Deqing Yang, Nigel Collier

CoRR, January, 2026

Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning.

Zheng Hui, Yijiang River Dong, Sanhanat Sivapiromrat, Ehsan Shareghi, Nigel Collier

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Value of Information: A Framework for Human-Agent Communication.

Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulic, Andreea Bobu, Nigel Collier

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

PrivacyPAD: A Reinforcement Learning Framework for Dynamic Privacy-Aware Delegation.

Zheng Hui, Yijiang River Dong, Sanhanat Sivapiromrat, Ehsan Shareghi, Nigel Collier

CoRR, October, 2025

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law.

Zheng Hui, Yijiang River Dong, Ehsan Shareghi, Nigel Collier

CoRR, July, 2025

UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models.

Yijiang River Dong, Hongzhou Lin, Mikhail Belkin, Ramón Huerta, Ivan Vulic

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference Learning.

Yijiang River Dong, Tiancheng Hu, Yinhong Liu, Ahmet Üstün, Nigel Collier

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

Can LLM be a Personalized Judge?

Yijiang River Dong, Tiancheng Hu, Nigel Collier

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding.

Yijiang River Dong, Lara J. Martin, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

CORRPUS: Detecting Story Inconsistencies via Codex-Bootstrapped Neurosymbolic Reasoning.

Yijiang River Dong, Lara J. Martin, Chris Callison-Burch

CoRR, 2022

Informative Text Generation from Knowledge Triples.

Zihao Fu, Yijiang River Dong, Lidong Bing, Wai Lam

CoRR, 2022