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Dongmei Zhang

Dongmei Zhang has 2 papers in our library, in 2020–2023, most of them on Language models & pretraining, Dialogue systems, Reasoning; often with Bei Chen, Can Xu, Chongyang Tao.

2 papers in our library · 2020–2023

OpenAlex · ORCID · Wikidata · h-index 57 · 454 works · 12,364 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 720 times in our library · 13 more in our library without a page yet · ⭐ Paper Stars ranking: #3112

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 42 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct (2023 · 366 citations)
    Open-source LLMs still lag behind proprietary systems on multi-step math word problems. This paper introduces WizardMath, trained with Reinforcement Learning from Evol-Instruct Feedback (RLEIF) to improve chain-of-thought (CoT) solving without external Python tools. The pipeline has three stages:
  2. You Impress Me: Dialogue Generation via Mutual Persona Perception (2020 · 215 citations)
    Open-domain chit-chat systems usually learn to imitate human replies. They rarely model whether the two speakers actually come to understand each other, even though cognitive science suggests that mutual understanding is central to good conversation. The authors propose P2BOT (Persona Perception Bot), a framework…

All works

15 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructHaipeng Luo, Qingfeng Sun, Can Xu, et al.arXiv:2308.09583 · 366 citations
  2. Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study · original ↗ · no summary yet · arXiv:2305.13062Yuan Sui et al.2023 · 234 citations
  3. HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation · original ↗ · no summary yet · arXiv:2108.06712Zhoujun Cheng et al.2021 · 106 citations
  4. Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations · original ↗ · no summary yet · Findings of the Association for Computational Linguistics: EMNLP 2024Nuo Chen et al.2024 · 86 citations
  5. UFO: A UI-Focused Agent for Windows OS Interaction · original ↗ · no summary yet · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of…Chaoyun Zhang et al.2025 · 37 citations
  6. FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining · original ↗ · no summary yet · Proceedings of the 60th Annual Meeting of the Association for Computational…Zhoujun Cheng et al.2022 · 36 citations
  7. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models · original ↗ · no summary yet · Proceedings of the 63rd Annual Meeting of the Association for Computational…Xinyi He et al.2025 · 8 citations
  8. LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Lihao Sun et al.2026 · 2 citations
  9. RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Zhiyuan Peng et al.2026 · 1 citation
  10. EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric Video · original ↗ · no summary yet · Findings of the Association for Computational Linguistics: ACL 2026Yuanmin Tang et al.2026
  11. Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs · original ↗ · no summary yet · Findings of the Association for Computational Linguistics: ACL 2026Qibin Wang et al.2026
  12. CAST: Achieving Stable LLM-based Text Analysis for Data Analytics · original ↗ · no summary yet · Findings of the Association for Computational Linguistics: ACL 2026Jinxiang Xie et al.2026
  13. Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Shiping Yang et al.2026
  14. Gradient-Guided Multi-Judge Prompt Optimization · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…ChenZhuo Zhao et al.2026

 Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 720 times (of the 141,840 papers whose bibliographies we read); 47 citing papers with a page here →.

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