--- title: "Li Du — author profile and papers — Elamur Research" description: "Li Du: 3 papers on Elamur Research (2019–2026), h-index 11 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/li-du/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/li-du/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Li Du # Li Du Li Du has 3 papers in our library, in 2019–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Bibo Cai](https://md.research.elamur.ai/free/en/authors/bibo-cai/), [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/), [Ting Liu](https://md.research.elamur.ai/free/en/authors/ting-liu/). 3 papers in our library · 2019–2026 [OpenAlex](https://openalex.org/A5023705881) · [ORCID](https://orcid.org/0000-0003-2533-2426) · [**h-index 11**](https://openalex.org/authors/A5023705881) · [37 works](https://openalex.org/works?filter=author.id:A5023705881) · [1,293 citations](https://openalex.org/works?filter=author.id:A5023705881&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/li-du/#papers) · [🔗 Cited 1,582 times in our library](https://md.research.elamur.ai/free/en/authors/li-du/cited-by/) · [⭐ Paper Stars ranking: #1185](https://md.research.elamur.ai/free/en/paper-stars/page/12/#star-1185) 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=Li+Du) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Li+Du) · [dblp](https://dblp.org/search?q=Li+Du) · [ACL Anthology](https://aclanthology.org/search/?q=Li+Du) ## Affiliations [🎓**Harbin Institute of Technology** Harbin · China 2019–2024 · 11 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Xidian University** Xi'an · China 2004–2015 · 11 papers](https://md.research.elamur.ai/free/en/universities/xidian-university/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Natural language processing · 1 work](https://md.research.elamur.ai/free/en/concepts/natural-language-processing/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/li-du/year/2026/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/li-du/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[The Curious Case of Neural Text Degeneration](https://md.research.elamur.ai/free/en/papers/holtzman-2019-curious-case-neural-text-degeneration/)** *(2019 · 2,660 citations)* The paper seeks the best way to decode text from a neural language model in open-ended generation, where the model must freely continue a given context, such as a story. 2. **[MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization](https://md.research.elamur.ai/free/en/papers/zhao-2026-maestro-meta-learning-adaptive-estimation/)** *(2026 · 1 citation)* GRPO aligns LLMs well when answers can be checked automatically, as in math or code. Open-ended generation has no such check, and its goals often conflict, for example creativity versus factuality. Existing fixes either rely on costly LLM judges or combine cheap heuristic rewards (perplexity, entropy, format) using… 3. **[Large Language Models Are Still Misled by Simple Bias Ensembles](https://md.research.elamur.ai/free/en/papers/sun-2026-large-language-models-are-still/)** *(2026)* Recent LLMs handle individual shortcut cues better than before. This paper argues that the real weakness appears when several such cues occur together in one input, which is common in real-world text. Most existing bias benchmarks inject only one bias per sample, and a few inject two. The authors therefore built… ## Co-authors here 11 co-authors with a page, the most papers together first. - [Bibo Cai](https://md.research.elamur.ai/free/en/authors/bibo-cai/) ×2 - [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/) ×2 - [Ting Liu](https://md.research.elamur.ai/free/en/authors/ting-liu/) ×2 - [Xiao Ding](https://md.research.elamur.ai/free/en/authors/xiao-ding/) ×2 - [Yang Zhao](https://md.research.elamur.ai/free/en/authors/yang-zhao/) ×2 - [Zhouhao Sun](https://md.research.elamur.ai/free/en/authors/zhouhao-sun/) ×2 - [Ari Holtzman](https://md.research.elamur.ai/free/en/authors/ari-holtzman/) - [Jan Buys](https://md.research.elamur.ai/free/en/authors/jan-buys/) - [Kai Xiong](https://md.research.elamur.ai/free/en/authors/kai-xiong/) - [Maxwell Forbes](https://md.research.elamur.ai/free/en/authors/maxwell-forbes/) - [Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/) ## 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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 1,582 times (of the 149,439 papers whose bibliographies we read); [296 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/li-du/cited-by/). Updated 1 November 2026