| 2026 | ACL | Conceptual Hierarchies within LLMs. | Tiago Almeida, Zining Zhu, Yue Ning |
| 2026 | ACL | The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models. | Yan Wang, Yitao Xu, Nanhan Shen, Jinyan Su, Jimin Huang, Zining Zhu |
| 2025 | ACL | INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent. | Haohang Li, Yupeng Cao, Yangyang Yu, Shashidhar Reddy Javaji, Zhiyang Deng, Yueru He, Yuechen Jiang, Zining Zhu, K. P. Subbalakshmi, Jimin Huang, Lingfei Qian, Xueqing Peng, Jordan W. Suchow, Qianqian Xie |
| 2025 | EMNLP | Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce. | Haojin Wang, Zining Zhu, Freda Shi |
| 2025 | EMNLP | Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity. | Lei Yu, Jingcheng Niu, Zining Zhu, Xi Chen, Gerald Penn |
| 2025 | ICDM | Feature-Guided SAE Steering for Refusal-Rate Control using Contrasting Prompts. | Samaksh Bhargav, Zining Zhu |
| 2025 | ICLR | Unhackable Temporal Reward for Scalable Video MLLMs. | En Yu, Kangheng Lin, Liang Zhao, Yana Wei, Zining Zhu, Haoran Wei, Jianjian Sun, Zheng Ge, Xiangyu Zhang, Jingyu Wang, Wenbing Tao |
| 2025 | IJCNLP | Can AI Validate Science? Benchmarking LLMs on Claim →Evidence Reasoning in AI Papers. | Shashidhar Reddy Javaji, Yupeng Cao, Haohang Li, Yangyang Yu, Nikhil Muralidhar, Zining Zhu |
| 2025 | IJCNLP | What Would You Ask When You First Saw a²+b²=c²? Evaluating LLM on Curiosity-Driven Question Generation. | Shashidhar Reddy Javaji, Zining Zhu |
| 2025 | NAACL | ACCORD: Closing the Commonsense Measurability Gap. | Franois Roewer-Desprs, Jinyue Feng, Zining Zhu, Frank Rudzicz |
| 2024 | ACCV | VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model. | Jinze Yang, Haoran Wang, Zining Zhu, Chenglong Liu, Meng Wymond Wu, Mingming Sun |
| 2024 | ICLR | What does the Knowledge Neuron Thesis Have to do with Knowledge? | Jingcheng Niu, Andrew Liu, Zining Zhu, Gerald Penn |
| 2023 | EMNLP | A State-Vector Framework for Dataset Effects. | Esmat Sahak, Zining Zhu, Frank Rudzicz |
| 2022 | ACL | Neural reality of argument structure constructions. | Bai Li, Zining Zhu, Guillaume Thomas, Frank Rudzicz, Yang Xu |
| 2022 | ACL | On the data requirements of probing. | Zining Zhu, Jixuan Wang, Bai Li, Frank Rudzicz |
| 2022 | EMNLP | Predicting Fine-Tuning Performance with Probing. | Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz |
| 2021 | ACL | How is BERT surprised? Layerwise detection of linguistic anomalies. | Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu, Frank Rudzicz |
| 2021 | EMNLP | An unsupervised framework for tracing textual sources of moral change. | Aida Ramezani, Zining Zhu, Frank Rudzicz, Yang Xu |
| 2020 | EMNLP | An information theoretic view on selecting linguistic probes. | Zining Zhu, Frank Rudzicz |
| 2019 | NAACL | Detecting cognitive impairments by agreeing on interpretations of linguistic features. | Zining Zhu, Jekaterina Novikova, Frank Rudzicz |
| 2017 | ICRA | Deep neural networks for improved, impromptu trajectory tracking of quadrotors. | Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig |