---
title: "Rui Zhang — all works — Elamur Research"
description: "All 31 works of Rui 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/rui-zhang/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rui-zhang/works/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/) / all works

# Rui Zhang — all works

31 works · [← Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/)

1. **[Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task](https://md.research.elamur.ai/free/en/papers/yu-2018-spider-large-scale-human-labeled/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Yu, Rui Zhang, Kai Yang, et al.*2018 · 1,602 citations*
2. **[Improving Text-to-SQL Evaluation Methodology](https://md.research.elamur.ai/free/en/papers/dollak-2018-improving-text-sql-evaluation-methodology/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, et al.*2018 · 355 citations*
3. **[Graph-based Neural Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/yasunaga-2017-graph-based-neural-multi-document/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, et al.*2017 · 351 citations*
4. **[TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation](https://md.research.elamur.ai/free/en/papers/yu-2018-typesql-knowledge-based-type-aware/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tao Yu, Zifan Li, Zilin Zhang, et al.*2018 · 303 citations*
5. **[Large Language Models for Mathematical Reasoning: Progresses and Challenges](https://md.research.elamur.ai/free/en/papers/ahn-2024-large-language-models-mathematical-reasoning/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Janice Ahn, Rishu Verma, Renze Lou, et al.*2024 · 280 citations*
6. **[CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tao Yu, Rui Zhang, Heyang Er, et al.*2019 · 262 citations*
7. **[CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning](https://md.research.elamur.ai/free/en/papers/das-2022-container-few-shot-named-entity/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al.*2022 · 234 citations*
8. **[FeTaQA: Free-form Table Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2022-fetaqa-free-form-table-question/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Linyong Nan, Chiachun Hsieh, Ziming Mao, et al.*2022 · 234 citations*
9. **[SParC: Cross-Domain Semantic Parsing in Context](https://md.research.elamur.ai/free/en/papers/yu-2019-sparc-cross-domain-semantic-parsing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tao Yu, Rui Zhang, Michihiro Yasunaga, et al.*2019 · 228 citations*
10. **[Identifying At-Risk Students in Massive Open Online Courses ↗](https://doi.org/10.1609/aaai.v29i1.9471) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Jiazhen He et al.*2015 · 212 citations*
11. **[Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions](https://md.research.elamur.ai/free/en/papers/zhang-2019-editing-based-sql-query-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rui Zhang, Tao Yu, Heyang Er, et al.*2019 · 177 citations*
12. **[When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs](https://md.research.elamur.ai/free/en/papers/kamoi-2024-when-can-llms-actually-correct/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.*2024 · 161 citations*
13. [**DART: Open-Domain Structured Data Record to Text Generation arXiv:2007.02871**Linyong Nan, Dragomir Radev, Rui Zhang, et al.*2020 · 161 citations*](https://md.research.elamur.ai/free/en/papers/nan-2020-dart-open-domain-structured-data/)
14. **[Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents ↗](https://aclanthology.org/N16-1177/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Rui Zhang, Honglak Lee, Dragomir R. Radev*2016 · 152 citations*
15. **[TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation](https://md.research.elamur.ai/free/en/papers/uchendu-2021-turingbench-benchmark-environment-turing-test/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Adaku Uchendu, Zeyu Ma, Thai Le, et al.*2021 · 140 citations*
16. **[MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data](https://md.research.elamur.ai/free/en/papers/zhao-2022-multihiertt-numerical-reasoning-over-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yilun Zhao, Yunxiang Li, Chenying Li, et al.*2022 · 128 citations*
17. **[Chain of Agents: Large Language Models Collaborating on Long-Context Tasks](https://md.research.elamur.ai/free/en/papers/zhang-2024-chain-agents-large-language-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yusen Zhang, Ruoxi Sun, Yanfei Chen, et al.*2024 · 104 citations*
18. **[This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation ↗](https://aclanthology.org/P19-1043/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Rui Zhang, Joel Tetreault*2019 · 100 citations*
19. **[Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering](https://md.research.elamur.ai/free/en/papers/zhang-2018-neural-coreference-resolution-deep-biaffine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, et al.*2018 · 84 citations*
20. **[Incorporating Knowledge Graph Embeddings into Topic Modeling ↗](https://doi.org/10.1609/aaai.v31i1.10951) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Liang Yao et al.*2017 · 61 citations*
21. **[Decentralized Trust Management ↗](https://doi.org/10.1145/3362168) ACM Computing Surveys · no summary yet**Xinxin Fan et al.*2020 · 51 citations*
22. **[Logic-Consistency Text Generation from Semantic Parses ↗](https://aclanthology.org/2021.findings-acl.388/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Chang Shu et al.*2021 · 42 citations*
23. **[MACSum: Controllable Summarization with Mixed Attributes](https://md.research.elamur.ai/free/en/papers/zhang-2023-macsum-controllable-summarization-mixed-attributes/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yusen Zhang, Yang Liu, Ziyi Yang, et al.*2023 · 37 citations*
24. **[ESPRIT: Explaining Solutions to Physical Reasoning Tasks ↗](https://aclanthology.org/2020.acl-main.706/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Nazneen Fatema Rajani et al.*2020 · 18 citations*
25. [**StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion arXiv:2508.04440**Yutong Wu, Di Huang, Ruosi Wan, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-stepfun-formalizer-unlocking-autoformalization/)
26. **[A Breadth-First Representation for Tree Matching in Large Scale Forest-Based Translation ↗](https://aclanthology.org/I11-1088/) Proceedings of 5th International Joint Conference on Natural Language Processing · no summary yet**Sumukh Ghodke, Steven Bird, Rui Zhang*2011 · 1 citation*
27. **[Causal-ESC: Reliable Policy Learning for Emotional Support Conversation via Causal Inference](https://md.research.elamur.ai/free/en/papers/wang-2026-causal-esc-reliable-policy-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xv Wang, Wang Zhenyu, Guanyu Zheng, et al.*2026*
28. **[SCOPE: Preserving Modality-Specific Cues to Mitigate Modality Laziness in Multimodal Learning](https://md.research.elamur.ai/free/en/papers/yang-2026-scope-preserving-modality-specific-cues/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingfan Yang, Rui Zhang, Liang Hong, et al.*2026*
29. **[The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-art-mis-alignment-how-fine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Zhang, Hongwei Li, Yun Shen, et al.*2026*
30. **[UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions](https://md.research.elamur.ai/free/en/papers/yi-2026-umpire-unveiling-llm-generated-posts/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoquan Yi, Haixing Wu, Haozhao Wang, et al.*2026*
31. **[When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise](https://md.research.elamur.ai/free/en/papers/shin-2026-when-relations-break-analyzing-relation/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Philip Wootaek Shin, Ajay Narayanan Sridhar, Lakshmi Sivani Devarapalli, et al.*2026*