Selected Publications
For a complete list, see my Google Scholar profile.
* denotes equal contribution.
2026
MiniCorp: The Last Mile of the AI Agent Firm
Jingying Zeng, Zhenwei Dai, Jinning Li, Changho Shin, Dylan Zhang, Yuxuan Lu, Qi He, Dakuo Wang, Kai-Wei Chang.
arXiv preprint, October 2026
Firefly: Illuminating Verified Real-world Tool Call Data Generation
Yuxuan Lu, Ziyi Wang, Yingzhou Lu, Yisi Sang, Jiri Gesi, Xianfeng Tang, Yimeng Zhang, Zhenwei Dai, Hui Liu, Hanqing Lu, Chen Luo, Qi He, Benoit Dumoulin, Jing Huang, Dakuo Wang.
A Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning
Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Zhan Shi, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin.
TRAJECT-Bench: A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use
Pengfei He, Zhenwei Dai, Bing He, Hui Liu, Xianfeng Tang, Hanqing Lu, Juanhui Li, Jiayuan Ding, Subhabrata Mukherjee, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin.
To Trust or Not to Trust: Attention-based Trust Management for LLM Multi-Agent Systems
Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, Jiliang Tang, Qi He.
ACL 2026, main conference; NeurIPS 2026, poster
2025
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu Aggarwal, Hui Liu.
Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce
Jingying Zeng*, Zhenwei Dai*, Hui Liu*, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang.
SIGIR 2025, industry track
Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents
Jingying Zeng*, Hui Liu*, Zhenwei Dai*, Xianfeng Tang, Chen Luo, Samarth Varshney, Zhen Li, Qi He.
A General Framework to Enhance Fine-tuning-based LLM Unlearning
Jie Ren*, Zhenwei Dai*, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He, Hui Liu.
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He.
How Far Are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities
Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang.
2024
RA-NER: Retrieval Augmented NER for Knowledge Intensive Named Entity Recognition
Zhenwei Dai, Chen Luo, Zhen Li, Xianfeng Tang, Hanqing Lu, Rahul Goutam, Haiyang Zhang.
ICLR 2024, Tiny Papers track
2023
Graph Self-supervised Learning via Proximity Distribution Minimization
Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava.
2022
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning
Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis.
Learning on Graphs Conference 2022
2021
Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix
Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava.
2020
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web
Zhenwei Dai, Anshumali Shrivastava.
2019
Channel Normalization in Convolutional Neural Network Avoids Vanishing Gradients
Zhenwei Dai, Reinhard Heckel.
ICML 2019, Deep Phenomena workshop