--- title: "Bolin Ding · Alibaba Group — author profile and papers" description: "Bolin Ding, Alibaba Group: 4 papers on Elamur Research (2023–2026), h-index 47 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/bolin-ding/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bolin-ding/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bolin Ding # Bolin Ding Bolin Ding has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jinyang Gao](https://md.research.elamur.ai/free/en/authors/jinyang-gao/), [Shuchang Tao](https://md.research.elamur.ai/free/en/authors/shuchang-tao/), [Aiwei Liu](https://md.research.elamur.ai/free/en/authors/aiwei-liu/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5040297543) · [ORCID](https://orcid.org/0000-0003-1535-9692) · [Wikidata](https://www.wikidata.org/wiki/Q130817161) · [**h-index 47**](https://openalex.org/authors/A5040297543) · [249 works](https://openalex.org/works?filter=author.id:A5040297543) · [9,137 citations](https://openalex.org/works?filter=author.id:A5040297543&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/bolin-ding/#papers) · [🔗 Cited 145 times in our library](https://md.research.elamur.ai/free/en/authors/bolin-ding/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3946](https://md.research.elamur.ai/free/en/paper-stars/page/40/#star-3946) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Bolin+Ding) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bolin+Ding) · [dblp](https://dblp.org/search?q=Bolin+Ding) · [ACL Anthology](https://aclanthology.org/search/?q=Bolin+Ding) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2018–2026 · 105 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba Group** San Mateo · United States 2019–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-united-states/) · [🏢**Alibaba Group** George Town · Cayman Islands 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 2008–2018 · 29 papers](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🏢**Microsoft** Redmond · United States 2013–2018 · 23 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2006–2021 · 11 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**Renmin University of China** Beijing · China 2021–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Semantic parsing & meaning representation · 1 work](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Semantic parsing · 1 work](https://md.research.elamur.ai/free/en/concepts/semantic-parsing/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/bolin-ding/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/bolin-ding/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/bolin-ding/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/)** *(2023 · 463 citations)* Large language models have become a strong option for turning natural-language questions into SQL. However, no one had systematically compared the many prompting choices behind these systems. Gao et al. address this with a broad benchmark on Spider. They test how the database and question are written into the prompt… 2. **[Language Adaptation of Large Language Models: An Empirical Study on LLaMA2](https://md.research.elamur.ai/free/en/papers/wang-2025-language-adaptation-large-language-models/)** *(2025 · 7 citations)* Most large language models learn mainly from English text and handle other languages less well. Building a balanced multilingual model from scratch is too costly for most groups, so adapting an existing model is the practical alternative. Methods for transferring older models such as BERT across languages may not… 3. **[d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/pan-2026-d-treerpo-more-reliable-policy/)** *(2026 · 3 citations)* Reinforcement learning for diffusion large language models (dLLMs) has two weak spots. Rewards are usually sparse outcome scores or unverified process signals, and per-token log-probabilities are approximated without accounting for the expectation over all possible decoding orders. d-TreeRPO addresses both. It… 4. **[Incentivizing Strong Reasoning from Weak Supervision](https://md.research.elamur.ai/free/en/papers/yuan-2026-incentivizing-strong-reasoning-weak-supervision/)** *(2026 · 1 citation)* Improving LLM reasoning usually requires either reinforcement learning with verifiable rewards, which is compute-intensive, or SFT on long chain-of-thought (CoT) data from very strong teachers, which is costly to obtain. ## All works 5 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. **[Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/) [Proceedings of the VLDB Endowment](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-vldb-endowment/)**Dawei Gao, Haibin Wang, Yaliang Li, et al.*2023 · 463 citations* 2. **[SoK: Privacy-Preserving Data Synthesis ↗](https://doi.org/10.1109/sp54263.2024.00002) Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · no summary yet**Yuzheng Hu et al.*2024 · 30 citations* 3. **[Language Adaptation of Large Language Models: An Empirical Study on LLaMA2](https://md.research.elamur.ai/free/en/papers/wang-2025-language-adaptation-large-language-models/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Shumin Wang, Yuexiang Xie, Bolin Ding, et al.*2025 · 7 citations* 4. **[d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/pan-2026-d-treerpo-more-reliable-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Leyi Pan, Shuchang Tao, Yunpeng Zhai, et al.*2026 · 3 citations* 5. **[Incentivizing Strong Reasoning from Weak Supervision](https://md.research.elamur.ai/free/en/papers/yuan-2026-incentivizing-strong-reasoning-weak-supervision/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yige Yuan, Teng Xiao, Shuchang Tao, et al.*2026 · 1 citation* ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Jinyang Gao](https://md.research.elamur.ai/free/en/authors/jinyang-gao/) ×2 - [Shuchang Tao](https://md.research.elamur.ai/free/en/authors/shuchang-tao/) ×2 - [Aiwei Liu](https://md.research.elamur.ai/free/en/authors/aiwei-liu/) - [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/) - [Jingren Zhou](https://md.research.elamur.ai/free/en/authors/jingren-zhou/) - [Leyi Pan](https://md.research.elamur.ai/free/en/authors/leyi-pan/) - [Liancheng Fang](https://md.research.elamur.ai/free/en/authors/liancheng-fang/) - [Lijie Wen](https://md.research.elamur.ai/free/en/authors/lijie-wen/) - [Teng Xiao](https://md.research.elamur.ai/free/en/authors/teng-xiao/) - [Yaliang Li](https://md.research.elamur.ai/free/en/authors/yaliang-li/) - [Yige Yuan](https://md.research.elamur.ai/free/en/authors/yige-yuan/) - [Yuexiang Xie](https://md.research.elamur.ai/free/en/authors/yuexiang-xie/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Proceedings of the VLDB Endowment](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-vldb-endowment/): [Proceedings of the VLDB Endowment 2023](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-vldb-endowment/2023/) - Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy ## Cited by Papers of our library cite their works 145 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bolin-ding/cited-by/). Updated 1 November 2026