Publications
You can also find my articles on my Google Scholar profile.
- Yuqi Chen, Vincent Siu, Yang Liu, Dawn Song, and Chenguang Wang. Tunable Tool-Call Rates in LLM Agents via Representation Steering. Manuscript under review at AAAI 2027.
- X Liu, J Tu, Y Chen, S Xie, S Ren, T Shi, G Gantar, P. J. Gilbert, N Hynes, M Staver, W He, D Marn, A Low, X Zhang, D Miao, E Sandoval, D Lee, C Wang, W Guo, and D Song. Agentified Agent Assessment Improves Standardization Across Heterogeneous Scenarios. arXiv. [Paper]
- Y Chen, V Siu, Y Liu, D Song, and C Wang. Controlling Tool Use with Heading-Specific Activation Steering. arXiv. [Paper]
- K Montgomery*, S Tan*, Y Chen, S Zhuang, T Zhang, R Popa, and C Wang. Budget-aware Test-time Scaling via Discriminative Verification. Manuscript under review at EACL 2027. [Paper]
- Ye Yuan, Junyu Luo, Guancheng Wan, Jinsheng Huang, Chengwu Liu, Junwei Yang, Yifang Qin, Zhiping Xiao, Qingqing Long, Meng Xiao, Yiqiao Jin, Jianhong Tu, Yuqi Chen, Wei Ju, Zhongwei Wan, Yusheng Zhao, Xiao Luo, Yiwei Fu, Yizhou Sun, Wei Wang, Chenguang Wang, Ming Zhang. A Comprehensive Survey of Evaluating Multimodal Foundation Models: Hierarchical Perspective and Extensive Applications. Preprint at SSRN.
- Y Potter, Z Wang, N Crispino, A Xiong, K Montgomery, F Pinto, E Chang, Y Chen, C Christodoulopoulos, M Ziyadi, R Gupta, C Wang, B Li, and D Song. VMDT: Decoding the Trustworthiness of Video Foundation Models. Neural Information Processing Systems (NeurIPS), 2025. [Paper]
- Sijun Tan, Kyle Montgomery, and the rLLM Team. rLLM v0.2: RL Training over General Agentic Programs. Project Blog. [Blog]
- Yuqi Chen, Zequn Zhang, Guangyao Zhou, Xian Sun, Keming Chen. Span-based Dual-decoder Framework for Aspect Sentiment Triplet Extraction. Neurocomputing, Vol. 492, pp. 211–221, 2022. [Paper]
- Yuqi Chen, Keming Chen, Xian Sun, Zequn Zhang. A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction. In Proceedings of EMNLP 2022 (Long Paper), pp. 4300–4309. [Paper]
* Equal contribution.