---
title: "Tong Zhang — all works — Elamur Research"
description: "All 34 works of Tong Zhang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/tong-zhang/works/"
---
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# Tong Zhang — all works

34 works · [← Tong Zhang](https://md.research.elamur.ai/free/en/authors/tong-zhang/)

1. **[Effective Use of Word Order for Text Categorization with Convolutional Neural Networks](https://md.research.elamur.ai/free/en/papers/johnson-2015-effective-use-word-order-text/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Rie Johnson, Tong Zhang*2015 · 971 citations*
2. **[Deep Pyramid Convolutional Neural Networks for Text Categorization ↗](https://aclanthology.org/P17-1052/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Rie Johnson, Tong Zhang*2017 · 888 citations*
3. **[Named Entity Recognition through Classifier Combination](https://md.research.elamur.ai/free/en/papers/florian-2003-named-entity-recognition-through-classifier/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Radu Florian, Abe Ittycheriah, Hongyan Jing, et al.*2003 · 486 citations*
4. **[Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition ↗](https://doi.org/10.1109/cvpr.2019.00790) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yinpeng Dong et al.*2019 · 412 citations*
5. **[Modeling Localness for Self-Attention Networks](https://md.research.elamur.ai/free/en/papers/yang-2018-modeling-localness-self-attention-networks/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Baosong Yang, Zhaopeng Tu, Derek F. Wong, et al.*2018 · 255 citations*
6. **[Multi-Label Prediction via Compressed Sensing ↗](https://openalex.org/W2115119296) neural information processing systems · no summary yet**John C. Langford et al.*2009 · 255 citations*
7. [**RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment arXiv:2304.06767**Hanze Dong, Wei Xiong, Deepanshu Goyal, et al.*2023 · 252 citations*](https://md.research.elamur.ai/free/en/papers/dong-2023-raft-reward-ranked-finetuning-generative/)
8. **[Multi-Head Attention with Disagreement Regularization ↗](https://aclanthology.org/D18-1317/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jian Li et al.*2018 · 231 citations*
9. **[RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models](https://md.research.elamur.ai/free/en/papers/niu-2024-ragtruth-hallucination-corpus-developing-trustworthy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cheng Niu, Yuanhao Wu, Juno Zhu, et al.*2024 · 207 citations*
10. **[Active Prompting with Chain-of-Thought for Large Language Models ↗](https://arxiv.org/abs/2302.12246) arXiv:2302.12246 · no summary yet**Shizhe Diao et al.*2023 · 201 citations*
11. **[ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations ↗](https://aclanthology.org/2020.findings-emnlp.425/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Shizhe Diao et al.*2020 · 187 citations*
12. **[Learning with structured sparsity ↗](https://doi.org/10.1145/1553374.1553429) International Conference on Machine Learning · no summary yet**Junzhou Huang, Tong Zhang, Dimitris Metaxas*2009 · 183 citations*
13. **[Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/wang-2024-interpretable-preferences-multi-objective-reward/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoxiang Wang, Wei Xiong, Tengyang Xie, et al.*2024 · 153 citations*
14. **[Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data](https://md.research.elamur.ai/free/en/papers/shum-2023-automatic-prompt-augmentation-selection-chain/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kashun Shum, Shizhe Diao, Tong Zhang*2023 · 128 citations*
15. **[Improving Chinese Word Segmentation with Wordhood Memory Networks ↗](https://aclanthology.org/2020.acl-main.734/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Yuanhe Tian et al.*2020 · 128 citations*
16. **[Exploiting Deep Representations for Neural Machine Translation ↗](https://aclanthology.org/D18-1457/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zi-Yi Dou et al.*2018 · 117 citations*
17. **[RLHF Workflow: From Reward Modeling to Online RLHF ↗](https://arxiv.org/abs/2405.07863) arXiv:2405.07863 · no summary yet**Hanze Dong et al.*2024 · 111 citations*
18. **[Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint ↗](https://arxiv.org/abs/2312.11456) arXiv:2312.11456 · no summary yet**Wei Xiong et al.*2023 · 100 citations*
19. **[R-Tuning: Instructing Large Language Models to Say ‘I Don't Know' ↗](https://aclanthology.org/2024.naacl-long.394/) 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 yet**Hanning Zhang et al.*2024 · 99 citations*
20. **[DetGPT: Detect What You Need via Reasoning ↗](https://aclanthology.org/2023.emnlp-main.876/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Renjie Pi et al.*2023 · 83 citations*
21. **[Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards](https://md.research.elamur.ai/free/en/papers/wang-2024-arithmetic-control-llms-diverse-user/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoxiang Wang, Yong Lin, Wei Xiong, et al.*2024 · 68 citations*
22. **[MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance](https://md.research.elamur.ai/free/en/papers/pi-2024-mllm-protector-ensuring-mllm-s/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Renjie Pi, Tianyang Han, Jianshu Zhang, et al.*2024 · 58 citations*
23. **[Bayesian Invariant Risk Minimization ↗](https://doi.org/10.1109/cvpr52688.2022.01555) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Lin Yong et al.*2022 · 57 citations*
24. **[CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2024-clamber-benchmark-identifying-clarifying-ambiguous/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tong Zhang, Peixin Qin, Yang Deng, et al.*2024 · 52 citations*
25. **[TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts ↗](https://arxiv.org/abs/2407.03203) arXiv:2407.03203 · no summary yet**Ruida Wang et al.*2024 · 51 citations*
26. [**RM-R1: Reward Modeling as Reasoning arXiv:2505.02387**Xiusi Chen, Gaotang Li, Ziqi Wang, et al.*2025 · 49 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-rm-r1-reward-modeling-reasoning/)
27. **[Neural Machine Translation with Adequacy-Oriented Learning ↗](https://arxiv.org/abs/1811.08541) arXiv:1811.08541 · no summary yet**Xiang Kong et al.*2018 · 45 citations*
28. **[Learning nonlinear dynamic models ↗](https://doi.org/10.1145/1553374.1553451) International Conference on Machine Learning · no summary yet**John C. Langford, Ruslan Salakhutdinov, Tong Zhang*2009 · 30 citations*
29. [**MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving arXiv:2503.03205**Ruida Wang, Rui Pan, Yuxin Li, et al.*2025 · 18 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-ma-lot-model-collaboration-lean/)
30. **[Entropy-Regularized Process Reward Model ↗](https://arxiv.org/abs/2412.11006) arXiv:2412.11006 · no summary yet**Hanning Zhang et al.*2024 · 17 citations*
31. **[Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability](https://md.research.elamur.ai/free/en/papers/wang-2025-let-s-reason-formally-natural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Generation](https://md.research.elamur.ai/free/en/papers/zhang-2026-opengenalign-preference-dataset-benchmark-trustworthy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanning Zhang, Juntong Song, Juno Zhu, et al.*2026 · 2 citations*
33. **[SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing](https://md.research.elamur.ai/free/en/papers/zhang-2026-sciflow-bench-evaluating-structure-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tong Zhang, Honglin Lin, Zhou Liu, et al.*2026 · 1 citation*
34. **[QuaSE: Accurate Text Style Transfer under Quantifiable Guidance ↗](https://arxiv.org/abs/1804.07007) arXiv:1804.07007 · no summary yet**Yi Liao et al.*2018*