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Zhenwei (Joseph) Tang
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[ICLR 2026] Chessformer: A Unified Architecture for Chess Modeling [Code] [Models] [Website]
D Monroe, G Eilender, P Chalmers, Z Tang, A Anderson
International Conference on Learning Representations
Human Behavior ModelingChess -
[KDD 2026] SWE-Bench Mobile: Can Large Language Model Agents Develop Industry-Level Mobile Applications? [Code] [Website]
M Tian, Z Wang, B Yang, Z Tang, K Zhu, H Dong, H Li, X Xie, G Wang, J You
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Large Language ModelsEvaluation -
[ACL 2026] LLM Safety From Within: Detecting Harmful Content with Internal Representations [Code] [Models]
D Jiao, Y Liu, Y Yuan, Z Tang, L Du, H Wu, A Anderson
Annual Meeting of the Association for Computational Linguistics
Large Language ModelsInternal RepresentationsSafety -
[In Submission] Grounded Chess Reasoning in Language Models via Master Distillation [Code] [Model] [Data]
Z Tang, Q Wen, S Grief-Albert, Y Elgabra, B Yang, H Dong, A Anderson
arXiv preprint
ChessLarge Language ModelsPost-training -
[In Submission] Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning
Z Tang*, A Inamdar*, A Anderson, R Zemel (* equal contribution)
arXiv preprint
ChessLarge Language ModelsPost-training -
[In Submission] ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement [Code] [Model]
D Jiao, Q Wen, B Yang, Z Tang, A Anderson
arXiv preprint
Large Language ModelsPost-training -
[In Submission] RankJudge: A Multi-Turn LLM-as-a-Judge Synthetic Benchmark Generator [Code] [Data] [Leaderboard]
Z Tang, Z Liu, R Hosseinzadeh, T Wu, K Golestan, JC Cresswell
arXiv preprint
Large Language ModelsEvaluation -
[In Submission] Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
R Surana, G Mundada, X Jiang, C Wang, Z Tang, D Jiao, Z Huang, Y Xiong, J Wu, S Yu, X Li, R Jain, N Kuang, S Zhou, B Jin, Z Chu, T Yu, R Rossi, KH Huang, J Shang, J Han, J McAuley
arXiv preprint
Large Language ModelsPost-training -
[In Submission] MINER: Mining Multimodal Internal Representation for Efficient Retrieval
W Li, R Song, Z Li, H Liu, G Zhang, D Jiao, Z Tang, B He, H Wu, X Liu, Y Yuan
arXiv preprint
Vision-Language ModelsInternal Representations -
[In Submission] SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents [Code] [Data] [Website]
Q Wen, YS Liu, X Liu, D Jiao, B Yang, J Wu, Z Tang
arXiv preprint
Large Language ModelsRecommender SystemsSafety
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[COLM 2025] SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models [Code] [Data] [Website]
Z Tang, D Jiao, B Yang, A Anderson
Conference on Language Modeling
Vision-Language ModelsLarge Language ModelsEvaluation -
[TMLR] Learning to Imitate with Less: Efficient Individual Behavior Modeling in Chess and LLMs
Z Tang, D Jiao, E Xue, R McIlroy-Young, J Kleinberg, S Sen, A Anderson
Transactions on Machine Learning Research
Human Behavior ModelingChess -
[In Submission] ChessQA: Evaluating Large Language Models for Chess Understanding [Code]
Q Wen, Z Tang, A Anderson
arXiv preprint
ChessLarge Language ModelsEvaluation
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[NeurIPS 2024] Maia-2: A Unified Model for Human-AI Alignment in Chess [Code] [Blitz Model] [Rapid Model] [Website]
Z Tang, D Jiao, R McIlroy-Young, J Kleinberg, S Sen, A Anderson
Conference on Neural Information Processing Systems
Human Behavior ModelingChess -
[ACL 2024 Findings] SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification [Code] [Demo]
D Jiao, Y Liu, Z Tang, D Matter, J Pfeffer, A Anderson
Findings of the Association for Computational Linguistics
Large Language ModelsInternal Representations -
[ISMB 2024] Predicting Protein Functions Using Positive-Unlabeled Ranking with Ontology-based Priors [Code] [Data]
F Zhapa-Camacho, Z Tang, M Kulmanov, R Hoehndorf
Bioinformatics (ISMB 2024 Proceedings)
Knowledge Representation Learning
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[ISWC 2023] Neural Multi-hop Logical Query Answering with Concept-level Answers [Code]
Z Tang, S Pei, X Peng, F Zhuang, X Zhang, R Hoehndorf
International Semantic Web Conference (Best Paper Candidate)
Knowledge Representation Learning -
[SIGIR 2023] LogicRec: Recommendation with Users' Logical Requirements [Code]
Z Tang, G Floto, A Toroghi, S Pei, X Zhang, S Sanner
International ACM SIGIR Conference on Research and Development in Information Retrieval
Recommender SystemsKnowledge Representation Learning -
[SIGIR 2023] Bayesian Knowledge-driven Critiquing with Indirect Evidence
A Toroghi, G Floto, Z Tang, S Sanner
International ACM SIGIR Conference on Research and Development in Information Retrieval
Recommender Systems -
[ACL 2023 Findings] DiffuDetox: A Mixed Diffusion Model for Text Detoxification
G Floto, MMA Pour, P Farinneya, Z Tang, A Pesaranghader, M Bharadwaj, S Sanner
Findings of the Association for Computational Linguistics
Large Language ModelsPost-trainingSafety -
[ECML-PKDD 2023] Customized Conversational Recommender Systems
S Li, Y Zhu, R Xie, Z Tang, Z Zhang, F Zhuang, Q He, H Xiong
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Recommender Systems
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[IJCAI 2022] Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
Z Tang*, S Pei*, Z Zhang, Y Zhu, F Zhuang, R Hoehndorf, X Zhang (* equal contribution)
International Joint Conference on Artificial Intelligence
Knowledge Representation Learning -
[WSDM 2022] Personalized Transfer of User Preferences for Cross-domain Recommendation [Code]
Y Zhu, Z Tang, Y Liu, F Zhuang, R Xie, X Zhang, L Lin, Q He
ACM International Conference on Web Search and Data Mining
Recommender Systems -
[IP&M] Self-Supervised Learning for Conversational Recommendation
S Li, R Xie, Y Zhu, F Zhuang, Z Tang, WX Zhao, Q He
Information Processing & Management
Recommender Systems -
FALCON: Faithful Neural Semantic Entailment over ALC Ontologies
Z Tang, T Hinnerichs, X Peng, X Zhang, R Hoehndorf
arXiv preprint
Knowledge Representation Learning -
Description Logic EL++ Embeddings with Intersectional Closure
X Peng, Z Tang, M Kulmanov, K Niu, R Hoehndorf
arXiv preprint
Knowledge Representation Learning
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[KDD 2020] Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning
J Zhou, Z Tang, M Zhao, X Ge, F Zhuang, M Zhou, L Zou, C Yang, H Xiong
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Human Behavior ModelingRecommender Systems
Last update: July 2026.