Zhenwei Tang

According to our database, Zhenwei Tang authored at least 29 papers between 2020 and 2026.

Collaborative distances:

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

2026

RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator.

Zhenwei Tang, Zhaoyan Liu, Rasa Hosseinzadeh, Tongzi Wu, Keyvan Golestan, Jesse C. Cresswell

CoRR, May, 2026

Chessformer: A Unified Architecture for Chess Modeling.

Daniel Monroe, George Eilender, Philip Chalmers, Zhenwei Tang, Ashton Anderson

CoRR, May, 2026

MINER: Mining Multimodal Internal Representation for Efficient Retrieval.

Weien Li, Rui Song, Zeyu Li, Haochen Liu, Gonghao Zhang, Difan Jiao, Zhenwei Tang, Bowei He, Haolun Wu, Xue (Steve) Liu, Ye Yuan

CoRR, May, 2026

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning.

Rohan Surana, Gagan Mundada, Xunyi Jiang, Chuhan Wang, Zhenwei Tang, Difan Jiao, Zihan Huang, Yuxin Xiong, Junda Wu, Sheldon Yu, Xintong Li, Raghav Jain, Nikki Kuang, Sizhe Zhou, Bowen Jin, Zhendong Chu, Tong Yu, Ryan Rossi, Kuan-Hao Huang, Jingbo Shang, Jiawei Han, Julian J. McAuley

CoRR, May, 2026

LLM Safety From Within: Detecting Harmful Content with Internal Representations.

Difan Jiao, Yilun Liu, Ye Yuan, Zhenwei Tang, Linfeng Du, Haolun Wu, Ashton Anderson

CoRR, April, 2026

ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement.

Difan Jiao, Qianfeng Wen, Blair Yang, Zhenwei Tang, Ashton Anderson

CoRR, April, 2026

Grounded Chess Reasoning in Language Models via Master Distillation.

Zhenwei Tang, Qianfeng Wen, Seth Grief-Albert, Yahya Elgabra, Blair Yang, Honghua Dong, Ashton Anderson

CoRR, March, 2026

MineDraft: A Framework for Batch Parallel Speculative Decoding.

Zhenwei Tang, Arun Verma, Zijian Zhou, Zhaoxuan Wu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low

CoRR, March, 2026

Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning.

Zhenwei Tang, Amogh Inamdar, Ashton Anderson, Richard S. Zemel

CoRR, March, 2026

SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications?

Muxin Tian, Zhe Wang, Blair Yang, Zhenwei Tang, Kunlun Zhu, Honghua Dong, Hanchen Li, Xinni Xie, Guangjing Wang, Jiaxuan You

CoRR, February, 2026

Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess.

Zhenwei Tang, Difan Jiao, Eric Xue, Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Ashton Anderson

Trans. Mach. Learn. Res., 2026

2025

ChessQA: Evaluating Large Language Models for Chess Understanding.

Qianfeng Wen, Zhenwei Tang, Ashton Anderson

CoRR, October, 2025

SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models.

Zhenwei Tang, Difan Jiao, Blair Yang, Ashton Anderson

CoRR, August, 2025

Research on Dynamic Big Data Processing and Optimization Model Based on Optimized PSO and Deep Reinforcement Learning.

Zhenwei Tang, Chuanjian Jiang, Xi Zhang

Informatica (Slovenia), 2025

2024

Predicting protein functions using positive-unlabeled ranking with ontology-based priors.

Fernando Zhapa-Camacho, Zhenwei Tang, Maxat Kulmanov, Robert Hoehndorf

Bioinform., 2024

Maia-2: A Unified Model for Human-AI Alignment in Chess.

Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon M. Kleinberg, Siddhartha Sen, Ashton Anderson

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification.

Difan Jiao, Yilun Liu, Zhenwei Tang, Daniel Matter, Jürgen Pfeffer, Ashton Anderson

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Bayesian Knowledge-driven Critiquing with Indirect Evidence.

Armin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LogicRec: Recommendation with Users' Logical Requirements.

Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Neural Multi-hop Logical Query Answering with Concept-Level Answers.

Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf

Proceedings of the Semantic Web - ISWC 2023, 2023

DiffuDetox: A Mixed Diffusion Model for Text Detoxification.

Griffin Floto, Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Zhenwei Tang, Ali Pesaranghader, Manasa Bharadwaj, Scott Sanner

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Self-Supervised learning for Conversational Recommendation.

Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He

Inf. Process. Manag., 2022

FALCON: Sound and Complete Neural Semantic Entailment over ALC Ontologies.

Zhenwei Tang, Tilman Hinnerichs, Xi Peng, Xiangliang Zhang, Robert Hoehndorf

CoRR, 2022

Joint Abductive and Inductive Neural Logical Reasoning.

Zhenwei Tang, Shichao Pei, Xi Peng, Fuzhen Zhuang, Xiangliang Zhang, Robert Hoehndorf

CoRR, 2022

Description Logic EL++ Embeddings with Intersectional Closure.

Xi Peng, Zhenwei Tang, Maxat Kulmanov, Kexin Niu, Robert Hoehndorf

CoRR, 2022

Personalized Transfer of User Preferences for Cross-domain Recommendation.

Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Customized Conversational Recommender Systems.

Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion.

Zhenwei Tang, Shichao Pei, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Robert Hoehndorf, Xiangliang Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2020

Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning.

Jingbo Zhou, Zhenwei Tang, Min Zhao, Xiang Ge, Fuzhen Zhuang, Meng Zhou, Liming Zou, Chenglei Yang, Hui Xiong

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020