🧑‍🔬 Tong Zhang — all works

34 works · ← Tong Zhang

1. Effective Use of Word Order for Text Categorization with Convolutional Neural NetworksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Rie Johnson, Tong Zhang2015 · 971 citations
2. Deep Pyramid Convolutional Neural Networks for Text Categorization ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRie Johnson, Tong Zhang2017 · 888 citations
3. Named Entity Recognition through Classifier CombinationConference on Computational Natural Language Learning (CoNLL)Radu Florian, Abe Ittycheriah, Hongyan Jing, et al.2003 · 486 citations
4. Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYinpeng Dong et al.2019 · 412 citations
5. Modeling Localness for Self-Attention NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Baosong Yang, Zhaopeng Tu, Derek F. Wong, et al.2018 · 255 citations
6. Multi-Label Prediction via Compressed Sensing ↗neural information processing systems · no summary yetJohn C. Langford et al.2009 · 255 citations
7. RAFT: Reward rAnked FineTuning for Generative Foundation Model AlignmentarXiv:2304.06767Hanze Dong, Wei Xiong, Deepanshu Goyal, et al.2023 · 252 citations
8. Multi-Head Attention with Disagreement Regularization ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetJian Li et al.2018 · 231 citations
9. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 207 citations
10. Active Prompting with Chain-of-Thought for Large Language Models ↗arXiv:2302.12246 · no summary yetShizhe Diao et al.2023 · 201 citations
11. ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetShizhe Diao et al.2020 · 187 citations
12. Learning with structured sparsity ↗International Conference on Machine Learning · no summary yetJunzhou Huang, Tong Zhang, Dimitris Metaxas2009 · 183 citations
13. Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsFindings of the Association for Computational LinguisticsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 153 citations
14. Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled DataFindings of the Association for Computational LinguisticsKashun Shum, Shizhe Diao, Tong Zhang2023 · 128 citations
15. Improving Chinese Word Segmentation with Wordhood Memory Networks ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetYuanhe Tian et al.2020 · 128 citations
16. Exploiting Deep Representations for Neural Machine Translation ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetZi-Yi Dou et al.2018 · 117 citations
17. RLHF Workflow: From Reward Modeling to Online RLHF ↗arXiv:2405.07863 · no summary yetHanze Dong et al.2024 · 111 citations
18. Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint ↗arXiv:2312.11456 · no summary yetWei Xiong et al.2023 · 100 citations
19. R-Tuning: Instructing Large Language Models to Say ‘I Don't Know' ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetHanning Zhang et al.2024 · 99 citations
20. DetGPT: Detect What You Need via Reasoning ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetRenjie Pi et al.2023 · 83 citations
21. Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Wang, Yong Lin, Wei Xiong, et al.2024 · 68 citations
22. MLLM-Protector: Ensuring MLLM's Safety without Hurting PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Renjie Pi, Tianyang Han, Jianshu Zhang, et al.2024 · 58 citations
23. Bayesian Invariant Risk Minimization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLin Yong et al.2022 · 57 citations
24. CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tong Zhang, Peixin Qin, Yang Deng, et al.2024 · 52 citations
25. TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts ↗arXiv:2407.03203 · no summary yetRuida Wang et al.2024 · 51 citations
26. RM-R1: Reward Modeling as ReasoningarXiv:2505.02387Xiusi Chen, Gaotang Li, Ziqi Wang, et al.2025 · 49 citations
27. Neural Machine Translation with Adequacy-Oriented Learning ↗arXiv:1811.08541 · no summary yetXiang Kong et al.2018 · 45 citations
28. Learning nonlinear dynamic models ↗International Conference on Machine Learning · no summary yetJohn C. Langford, Ruslan Salakhutdinov, Tong Zhang2009 · 30 citations
29. MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem ProvingarXiv:2503.03205Ruida Wang, Rui Pan, Yuxin Li, et al.2025 · 18 citations
30. Entropy-Regularized Process Reward Model ↗arXiv:2412.11006 · no summary yetHanning Zhang et al.2024 · 17 citations
31. Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Ruida Wang, Yuxin Li, Yi R. Fung, et al.2025 · 7 citations
32. OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context GenerationFindings of the Association for Computational LinguisticsHanning Zhang, Juntong Song, Juno Zhu, et al.2026 · 2 citations
33. SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Tong Zhang, Honglin Lin, Zhou Liu, et al.2026 · 1 citation
34. QuaSE: Accurate Text Style Transfer under Quantifiable Guidance ↗arXiv:1804.07007 · no summary yetYi Liao et al.2018

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