Zhenwei Dai - RankMe

40 papers A* 2A 1B 1C 1Journal 27Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Do Latent Reasoning Methods Perform Under Weak and Strong Supervision? CoRR Yingqian Cui, Zhenwei Dai, Bing He, Zhan Shi, Hui Liu, Rui Sun, Zhiji Liu, Yue Xing, Jiliang Tang, Benoît Dumoulin
2026	J	`jnl`	How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang
2026	J	`jnl`	Position: Agentic Evolution is the Path to Evolving LLMs. CoRR Minhua Lin, Hanqing Lu, Zhan Shi, Bing He, Rui Mao, Zhiwei Zhang, Zongyu Wu, Xianfeng Tang, Hui Liu, Zhenwei Dai, Xiang Zhang, Suhang Wang, Benoît Dumoulin, Jian Pei
2025	—	`conf`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. ACL (Findings) Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	J	`jnl`	A General Framework to Enhance Fine-tuning-based LLM Unlearning. CoRR Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He
2025	J	`jnl`	Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search. CoRR Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin
2025	J	`jnl`	AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. CoRR Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang
2025	J	`jnl`	Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems. CoRR Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, Jiliang Tang, Qi He
2025	J	`jnl`	Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. CoRR 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
2025	J	`jnl`	Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents. CoRR Jingying Zeng, Hui Liu, Zhenwei Dai, Xianfeng Tang, Chen Luo, Samarth Varshney, Zhen Li, Qi He
2025	J	`jnl`	Comprehensive Vulnerability Analysis is Necessary for Trustworthy LLM-MAS. CoRR Pengfei He, Yue Xing, Shen Dong, Juanhui Li, Zhenwei Dai, Xianfeng Tang, Hui Liu, Han Xu, Zhen Xiang, Charu C. Aggarwal
2025	A*	`conf`	Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. SIGIR Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zhen Li, Qi He, Xianfeng Tang
2025	J	`jnl`	Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. CoRR Jingying Zeng, Zhenwei Dai, Hui Liu, Samarth Varshney, Zhiji Liu, Chen Luo, Zheng Li, Qi He, Xianfeng Tang
2025	J	`jnl`	How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. CoRR Minhua Lin, Hui Liu, Xianfeng Tang, Jingying Zeng, Zhenwei Dai, Chen Luo, Zheng Li, Xiang Zhang, Qi He, Suhang Wang
2025	J	`jnl`	Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy. CoRR 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
2025	J	`jnl`	LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes. CoRR Zhenwei Dai, Chuan Lei, Asterios Katsifodimos, Xiao Qin, Christos Faloutsos, Huzefa Rangwala
2025	J	`jnl`	Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs. CoRR Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Joy Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Benoît Dumoulin, Hanghang Tong
2025	—	`conf`	SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. NAACL (Long Papers) Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2025	—	`conf`	Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. ACL (Findings) 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
2025	J	`jnl`	Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. CoRR 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
2025	J	`jnl`	TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use. CoRR Pengfei He, Zhenwei Dai, Bing He, Hui Liu, Xianfeng Tang, Hanqing Lu, Juanhui Li, Jiayuan Ding, Subhabrata Mukherjee, Suhang Wang, Yue Xing, Jiliang Tang, Benoît Dumoulin
2025	—	`conf`	The 2nd Workshop on Large Language Models for E-Commerce. KDD (2) Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang
2024	B	`conf`	Exploring Query Understanding for Amazon Product Search. IEEE Big Data 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
2024	J	`jnl`	Exploring Query Understanding for Amazon Product Search. CoRR 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
2024	—	`conf`	RA-NER: Retrieval augmented NER for knowledge intensive named entity recognition. Tiny Papers @ ICLR Zhenwei Dai, Chen Luo, Zhen Li, Xianfeng Tang, Hanqing Lu, Rahul Goutam, Haiyang Zhang
2024	—	`conf`	Session-Aware Product filter Ranking in E- Commerce Search. Tiny Papers @ ICLR Hanqing Lu, Xianfeng Tang, Chen Luo, Limeng Cui, Zhenwei Dai, Rahul Goutam, Haiyang Zhang, Monica Xiao Cheng
2024	J	`jnl`	SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. CoRR Ran Xu, Hui Liu, Sreyashi Nag, Zhenwei Dai, Yaochen Xie, Xianfeng Tang, Chen Luo, Yang Li, Joyce C. Ho, Carl Yang, Qi He
2023	A	`conf`	Graph Self-supervised Learning via Proximity Distribution Minimization. UAI Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava
2022	J	`jnl`	Optimizing Learned Bloom Filters: How Much Should Be Learned? IEEE Embed. Syst. Lett. Zhenwei Dai, Anshumali Shrivastava, Pedro Reviriego, José Alberto Hernández
2022	—	`conf`	ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. LoG Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
2022	J	`jnl`	ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning. CoRR Zhenwei Dai, Vasileios Ioannidis, Soji Adeshina, Zak Jost, Christos Faloutsos, George Karypis
2021	—	`conf`	Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. SIGMOD Conference Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
2021	J	`jnl`	Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks. CoRR Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava
2021	C	`conf`	Learned Bloom Filters in Adversarial Environments: A Malicious URL Detection Use-Case. HPSR Pedro Reviriego, José Alberto Hernández, Zhenwei Dai, Anshumali Shrivastava
2020	J	`jnl`	Active Sampling Count Sketch (ASCS) for Online Sparse Estimation of a Trillion Scale Covariance Matrix. CoRR Zhenwei Dai, Aditya Desai, Reinhard Heckel, Anshumali Shrivastava
2020	A*	`conf`	Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web. NeurIPS Zhenwei Dai, Anshumali Shrivastava
2019	J	`jnl`	Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier. CoRR Zhenwei Dai, Anshumali Shrivastava
2019	J	`jnl`	Batch effects correction for microbiome data with Dirichlet-multinomial regression. Bioinform. Zhenwei Dai, Sunny Hei Wong, Jun Yu, Yingying Wei
2019	J	`jnl`	Batch effects correction for microbiome data with Dirichlet-multinomial regression. Bioinform. Zhenwei Dai, Sunny Hei Wong, Jun Yu, Yingying Wei
2019	J	`jnl`	Channel Normalization in Convolutional Neural Network avoids Vanishing Gradients. CoRR Zhenwei Dai, Reinhard Heckel