About me
My name is Ruochen, feel free to call me Esther. In Chinese, my name is 赵若辰, which translates to “like a star”. I’m currently a research engineer at Apple. I hold a Ph.D. from Nanyang Technological University (NTU-NLP), advised by Associate Professor Shafiq Joty. I am currently focusing on the topic of LLM Agents, trustworthiness and reliability, with interests in Agents, LLMs, and reasoning. Specifically, I am intrigued by the research question of endowing LLMs with reasoning abilities by mimicing human thinking processes.
I graduated my PhD in August 2024. Prior to my Ph.D. journey, I received my B.S. in Mathematics from Courant Institute, New York University. I then graduated with an M.S. in Data Science from Harvard University. After spending 6 years in the U.S., I returned to Asia and have been staying in Singapore for 4 years now.
News
- [Aug 2025] I received the SG100WIT 2025 Award (Singapore 100 Women in Tech)! Really appreciate the recognition.
 - [May 2025] Auto-Arena is accepted to ACL 2025.
 - [Aug 2024] Successfully defended my PhD thesis and joined Apple as a research engineer. Many thanks to my supervisors.
 
Publications
Here is a taste of what I enjoy doing!
Designing Single and Multi-Agent Systems for Diverse Tasks
AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities 
 Ruochen Zhao, Simone Conia, Eric Peng, Min Li, Saloni Potdar 
 Currently on arxiv 
 Paper
Auto-Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions 
 Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, Deli Zhao, Lidong Bing 
 ACL 2025 Main 
 Paper
Chain of Ideas: Revolutionizing Research via Novel Idea Development with LLM Agents 
 Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Deli Zhao, Yu Rong, Tian Feng, Lidong Bing 
 EMNLP 2025 Findings 
 Paper
Give LLMs Tools and Reasoning Abilities like Humans
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks 
 Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing 
 ACL 2025 Main 
 Paper
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases 
 Xingxuan Li*, Ruochen Zhao*, Yew Ken Chia*, Bosheng Ding, Lidong Bing, Shafiq Joty, Soujanya Poria 
 ICLR 2024 
 Paper
Retrieving Multimodal Information for Augmented Generation: A Survey 
 Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty 
 EMNLP 2023 Findings 
 Paper
Verify-and-Edit: A Knowledge-Enhanced Chain-of-thought Framework 
 Ruochen Zhao*, Xingxuan Li*, Shafiq Joty, Chengwei Qin, Lidong Bing 
 ACL 2023 Main 
 Paper
Making LLMs more Trustworthy and Transparent
Explaining Language Models’ Predictions with High-Impact Concepts 
 Ruochen Zhao, Shafiq Joty, Yongjie Wang, Tan Wang 
 EACL 2024 Findings 
 Paper
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications 
 Han Cheol Moon, Shafiq Joty, Ruochen Zhao, Megh Thakkar, Xu Chi 
 ACL 2023 Main 
 Paper
Just Thinking About LLMs and NLP In General
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library 
 Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty 
 CoRR 2024 
 Paper
ChatGPT’s One-year Anniversary: Are Open-Source Large Language Models Catching up? 
 Hailin Chen*, Fangkai Jiao*, Xingxuan Li*, Chengwei Qin*, Mathieu Ravaut*, Ruochen Zhao*, Caiming Xiong, Shafiq Joty 
 arxiv 
 Paper
