Bolin Ding
Bolin Ding has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Jinyang Gao, Shuchang Tao, Aiwei Liu.
OpenAlex · ORCID · Wikidata · h-index 47 · 249 works · 9,137 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 145 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3946
Affiliations
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 3 worksComputer Networks and Communications · 1 work
🧭 Topics 5Research subjects and languages the work is about.Language models & pretraining · 3 worksCode & programming languages · 1 workEvaluation & benchmarks · 1 workSemantic parsing & meaning representation · 1 workReasoning · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Semantic parsing · 1 work
Works by year
2020s
Papers
- Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation (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… - Language Adaptation of Large Language Models: An Empirical Study on LLaMA2 (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… - d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models (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… - Incentivizing Strong Reasoning from 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
- Text-to-SQL Empowered by Large Language Models: A Benchmark EvaluationProceedings of the VLDB EndowmentDawei Gao, Haibin Wang, Yaliang Li, et al.2023 · 463 citations
- SoK: Privacy-Preserving Data Synthesis ↗Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy · no summary yetYuzheng Hu et al.2024 · 30 citations
- Language Adaptation of Large Language Models: An Empirical Study on LLaMA2International Conference on Computational Linguistics (COLING)Shumin Wang, Yuexiang Xie, Bolin Ding, et al.2025 · 7 citations
- d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Leyi Pan, Shuchang Tao, Yunpeng Zhai, et al.2026 · 3 citations
- Incentivizing Strong Reasoning from Weak SupervisionConference of the European Chapter of the Association for Computational Linguistics (EACL)Yige Yuan, Teng Xiao, Shuchang Tao, et al.2026 · 1 citation
Co-authors here
- Jinyang Gao ×2
- Shuchang Tao ×2
- Aiwei Liu
- Bingbing Xu
- Jingren Zhou
- Leyi Pan
- Liancheng Fang
- Lijie Wen
- Teng Xiao
- Yaliang Li
- Yige Yuan
- Yuexiang Xie
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- International Conference on Computational Linguistics (COLING): COLING 2025
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Proceedings of the VLDB Endowment: Proceedings of the VLDB Endowment 2023
- Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy
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