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Haoyu Dong

Haoyu Dong has 4 papers in our library, in 2021–2026, most of them on Language models & pretraining, Question answering, Text generation; often with Dongmei Zhang, Shi Han, Mengyu Zhou.

4 papers in our library · 2021–2026

OpenAlex · ORCID · h-index 12 · 46 works · 379 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 125 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7590

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

🏢MicrosoftRedmond · United States2019–2026 · 8 paperscurrent🎓Huazhong University of Science and TechnologyWuhan · China2024–2026 · 2 papersEmployment since 2024current🏢Microsoft Research AsiaBeijing · China2020–2023 · 10 papers🎓Duke UniversityDurham · United States2021–2025 · 4 papers🎓Northwest UniversityXi'an · China2022–2024 · 4 papers🔬State Key Laboratory of Continental DynamicsXi'an2022–2024 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 3 worksLiterature and Literary Theory · 1 work

🧭 Topics 6Research subjects and languages the work is about.Question answering · 1 workText generation · 1 workLanguage models & pretraining · 2 worksEfficient models & compression · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers20251 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation (2021 · 108 citations)
    Most table reasoning research assumes flat tables. Real statistical and scientific tables, however, often have multi-level headers, unmarked totals and proportions, and implicit links between entities. HiTab is a cross-domain English benchmark built to test question answering (QA) and table-to-text generation (NLG)…
  2. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models (2025 · 8 citations)
    Large language models often misread tables when tuned with parameter-efficient methods such as LoRA. Flattening a grid into a token sequence hides which cells share a row or column, and nested headers become hard to interpret. TableLoRA is a PEFT-compatible module that addresses these problems with two components:
  3. LitVISTA: A Benchmark for Narrative Orchestration in Literary Text (2026 · 1 citation)
    Large language models can produce long stories that hold together causally, yet their plots tend to be flatter than human ones, with simpler arcs and turning points that arrive too early.
  4. Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement Learning (2026 · 1 citation)
    Reasoning LLMs often generate chains of thought much longer than they need to be. Earlier RL methods for shortening them apply length penalties uniformly across tokens, which can hurt answer correctness. This paper treats the problem at the token level. It notes that a large share of CoT tokens barely influence the…

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language GenerationarXiv:2108.06712Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, et al.2021 · 108 citations
  2. HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhoujun Cheng et al.2022 · 61 citations
  3. FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhoujun Cheng et al.2022 · 36 citations
  4. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyi He, Yihao Liu, Mengyu Zhou, et al.2025 · 8 citations
  5. LitVISTA: A Benchmark for Narrative Orchestration in Literary TextAnnual Meeting of the Association for Computational Linguistics (ACL)Mingzhe Lu, Yiwen Wang, Yanbing Liu, et al.2026 · 1 citation
  6. Not All Tokens Matter: Towards Efficient LLM Reasoning via Token Significance in Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Hanbing Liu, Lang Cao, Yuanyi Ren, et al.2026 · 1 citation

 Co-authors here

12 of 19 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 125 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

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