--- title: "Dawei Li · Arizona State University — author profile and papers" description: "Dawei Li, Arizona State University: 6 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/dawei-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dawei-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dawei Li # Dawei Li Dawei Li has 6 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Huan Liu](https://md.research.elamur.ai/free/en/authors/huan-liu/), [Zhen Tan](https://md.research.elamur.ai/free/en/authors/zhen-tan/), [Bohan Jiang](https://md.research.elamur.ai/free/en/authors/bohan-jiang/). 6 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5007115117) · [**h-index 2**](https://openalex.org/authors/A5007115117) · [5 works](https://openalex.org/works?filter=author.id:A5007115117) · [32 citations](https://openalex.org/works?filter=author.id:A5007115117&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/dawei-li/#papers) · [🔗 Cited 190 times in our library](https://md.research.elamur.ai/free/en/authors/dawei-li/cited-by/) · [⭐ Paper Stars ranking: #4373](https://md.research.elamur.ai/free/en/paper-stars/page/44/#star-4373) 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=Dawei+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dawei+Li) · [dblp](https://dblp.org/search?q=Dawei+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Dawei+Li) ## Affiliations [🎓**Arizona State University** Tempe · United States 2012–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/arizona-state-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/dawei-li/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/dawei-li/year/2025/) · [**2024** 3 papers](https://md.research.elamur.ai/free/en/authors/dawei-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Models for Data Annotation and Synthesis: A Survey](https://md.research.elamur.ai/free/en/papers/tan-2024-large-language-models-data-annotation/)** *(2024 · 262 citations)* Labeling or generating training data by hand is slow, expensive and often requires domain experts. This survey examines how LLMs such as GPT-4, Gemini and LLaMA-2 can automate that work. It is a literature review, so it reports no new experiments. The authors frame the setting with two roles: an annotator model A… 2. **[Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning](https://md.research.elamur.ai/free/en/papers/tong-2024-can-llms-learn-previous-mistakes/)** *(2024 · 57 citations)* The paper asks whether large language models can improve their reasoning by learning from their own errors, rather than only imitating gold-standard Chain-of-Thought (CoT) rationales. 3. **[Contextualization Distillation from Large Language Model for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/li-2024-contextualization-distillation-large-language-model/)** *(2024 · 30 citations)* Pre-trained language models (PLMs) used for knowledge graph completion (KGC) depend on textual side information, such as Wikipedia articles or synset definitions. 4. **[Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens](https://md.research.elamur.ai/free/en/papers/zhao-2026-is-chain-thought-reasoning-llms/)** *(2026 · 21 citations)* The paper asks why chain-of-thought (CoT) prompting sometimes yields convincing step-by-step reasoning and sometimes collapses. 5. **[DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/jiang-2025-drp-distilled-reasoning-pruning-skill/)** *(2025 · 21 citations)* Large Reasoning Models tend to "overthink": they produce very long chains of thought full of redundant checks and backtracking, which wastes compute. 6. **[Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/sun-2026-stop-when-enough-adaptive-early/)** *(2026 · 7 citations)* Reasoning LLMs often keep producing chain-of-thought steps long after the answer is effectively settled. This "overthinking" wastes compute and can even push the model toward a wrong answer. The authors present REFRAIN, a framework that needs no training and decides at inference time when to cut reasoning short. It… ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Huan Liu](https://md.research.elamur.ai/free/en/authors/huan-liu/) ×3 - [Zhen Tan](https://md.research.elamur.ai/free/en/authors/zhen-tan/) ×3 - [Bohan Jiang](https://md.research.elamur.ai/free/en/authors/bohan-jiang/) ×2 - [Francis Ferraro](https://md.research.elamur.ai/free/en/authors/francis-ferraro/) - [Haifeng Chen](https://md.research.elamur.ai/free/en/authors/haifeng-chen/) - [Jingbo Shang](https://md.research.elamur.ai/free/en/authors/jingbo-shang/) - [Jundong Li](https://md.research.elamur.ai/free/en/authors/jundong-li/) - [Lu Cheng](https://md.research.elamur.ai/free/en/authors/lu-cheng/) - [Renliang Sun](https://md.research.elamur.ai/free/en/authors/renliang-sun/) - [Sizhe Wang](https://md.research.elamur.ai/free/en/authors/sizhe-wang/) - [Song Wang](https://md.research.elamur.ai/free/en/authors/song-wang/) - [Tianlong Chen](https://md.research.elamur.ai/free/en/authors/tianlong-chen/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 190 times (of the 149,439 papers whose bibliographies we read); [49 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dawei-li/cited-by/). Updated 30 October 2026