Zhenwei Dai

According to our database, Zhenwei Dai authored at least 28 papers between 2019 and 2025.

Collaborative distances:

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

2025

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary.

Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Zheng Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang

CoRR, July, 2025

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes.

Zhenwei Dai, Chuan Lei, Asterios Katsifodimos, Xiao Qin, Christos Faloutsos, Huzefa Rangwala

CoRR, July, 2025

Attention Knows Whom 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

CoRR, June, 2025

Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS.

Pengfei He, Yue Xing, Shen Dong, Juanhui Li, Zhenwei Dai, Xianfeng Tang, Hui Liu, Han Xu, Zhen Xiang, Charu C. Aggarwal, Hui Liu

CoRR, June, 2025

Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy.

Jie Ren, Zhenwei Dai, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal, Hui Liu

CoRR, June, 2025

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, Zheng Li, Qi He, Xianfeng Tang

CoRR, March, 2025

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

CoRR, March, 2025

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

CoRR, February, 2025

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

CoRR, February, 2025

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, Zheng Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He

CoRR, February, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He

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

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

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

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

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

2024

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He

CoRR, 2024

Session-Aware Product filter Ranking in E- Commerce Search.

Hanqing Lu, Xianfeng Tang, Chen Luo, Limeng Cui, Zhenwei Dai, Rahul Goutam, Haiyang Zhang, Monica Xiao Cheng

Proceedings of the Second Tiny Papers Track at ICLR 2024, 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

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Exploring Query Understanding for Amazon Product Search.

Chen Luo, Xianfeng Tang, Hanqing Lu, Yaochen Xie, Hui Liu, Zhenwei Dai, Limeng Cui, Ashutosh Joshi, Sreyashi Nag, Yang Li, Zhen Li, Rahul Goutam, Jiliang Tang, Haiyang Zhang, Qi He

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Graph Self-supervised Learning via Proximity Distribution Minimization.

Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Optimizing Learned Bloom Filters: How Much Should Be Learned?

Zhenwei Dai, Anshumali Shrivastava, Pedro Reviriego, José Alberto Hernández

IEEE Embed. Syst. Lett., 2022

ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning.

Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis

Proceedings of the Learning on Graphs Conference, 2022

2021

Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks.

Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava

CoRR, 2021

Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix.

Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Learned Bloom Filters in Adversarial Environments: A Malicious URL Detection Use-Case.

Pedro Reviriego, José Alberto Hernández, Zhenwei Dai, Anshumali Shrivastava

Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier.

Zhenwei Dai, Anshumali Shrivastava

CoRR, 2019

Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients.

Zhenwei Dai, Reinhard Heckel

CoRR, 2019

Batch effects correction for microbiome data with Dirichlet-multinomial regression.

Zhenwei Dai, Sunny Hei Wong, Jun Yu, Yingying Wei

Bioinform., 2019