🧑‍🔬 Dongwei Jiang

🏛️ Affiliations

🎓Johns Hopkins UniversityBaltimore · United States2024–2026 · 6 paperscurrent🎓University of PennsylvaniaPhiladelphia · United States2026 · 3 paperscurrent🏢Didi ChuxingBeijing2018–2021 · 5 papers🎓Sichuan University of Science and EngineeringZigong · China2023–2025 · 4 papers🎓University of Notre DameNotre Dame · United States2024–2025 · 2 papers🔬Allen Institute for Artificial IntelligenceSeattle · United States2024 · 2 papers🎓University of ArizonaTucson · United States2024 · 2 papers🎓University of EdinburghEdinburgh · United Kingdom2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning (2024 · 138 citations)
   Chain-of-thought (CoT) prompting, where a large language model is asked to reason step by step, is widely treated as a general booster for reasoning.
2. Benchmarking Language Model Creativity: A Case Study on Code Generation (2025 · 17 citations)
   Most studies of LLM creativity focus on open-ended tasks such as story writing. This leaves open how creative models are when they solve problems. Two things have been missing: a way to push models beyond repetitive outputs, and a grounded, quantitative metric. Drawing on cognitive science, the authors treat…
3. Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic (2024 · 7 citations)
   Entailment-tree reasoners answer a question by recursively splitting a hypothesis into premises that should jointly support it.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningarXiv:2409.12183Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 138 citations
2. Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-Supervised Speech Representation Learning ↗Interspeech (USB) · no summary yetDongwei Jiang et al.2021 · 66 citations
3. LeanReasoner: Boosting Complex Logical Reasoning with Lean ↗arXiv:2403.13312 · no summary yetDongwei Jiang, Marcio Fonseca, Shay B. Cohen2024 · 22 citations
4. Benchmarking Language Model Creativity: A Case Study on Code GenerationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yining Lu, Dixuan Wang, Tianjian Li, et al.2025 · 17 citations
5. Enhancing Systematic Decompositional Natural Language Inference Using Informal LogicConference on Empirical Methods in Natural Language Processing (EMNLP)Nathaniel Weir, Kate Sanders, Orion Weller, et al.2024 · 7 citations

🤝 Co-authors here

12 of 21 co-authors with a page, the most papers together first.

• Benjamin Van Durme
• Bhavana Dalvi Mishra
• Daniel Khashabi
• Greg Durrett
• Juan Diego Rodriguez
• Kate Sanders
• Kyle Mahowald
• Meng Jiang
• Nathaniel Weir
• Orion Weller
• Oyvind Tafjord
• Peter Clark

Venues

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

• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2024
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2025
• Interspeech (USB)

🔗 Cited by

Papers of our library cite their works 172 times (of the 149,439 papers whose bibliographies we read); 39 citing papers with a page here →.

Updated 30 October 2026

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