--- title: "Lu Cheng — author profile and papers — Elamur Research" description: "Lu Cheng, University of Illinois Chicago: 5 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/lu-cheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lu-cheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lu Cheng # Lu Cheng Lu Cheng has 5 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Bohan Jiang](https://md.research.elamur.ai/free/en/authors/bohan-jiang/), [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/), [Huan Liu](https://md.research.elamur.ai/free/en/authors/huan-liu/). 5 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139743222) · [**h-index 1**](https://openalex.org/authors/A5139743222) · [12 works](https://openalex.org/works?filter=author.id:A5139743222) · [5 citations](https://openalex.org/works?filter=author.id:A5139743222&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/lu-cheng/#papers) · [🔗 Cited 99 times in our library](https://md.research.elamur.ai/free/en/authors/lu-cheng/cited-by/) · [⭐ Paper Stars ranking: #5161](https://md.research.elamur.ai/free/en/paper-stars/page/52/#star-5161) 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=Lu+Cheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lu+Cheng) · [dblp](https://dblp.org/search?q=Lu+Cheng) · [ACL Anthology](https://aclanthology.org/search/?q=Lu+Cheng) ## Affiliations [🎓**University of Illinois Chicago** Chicago · United States 2025–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-illinois-chicago/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 5 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/lu-cheng/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/lu-cheng/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/lu-cheng/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. **[Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding Layers](https://md.research.elamur.ai/free/en/papers/he-2025-shakespearean-sparks-dance-hallucination-creativity/)** *(2025 · 3 citations)* Hallucination in LLMs is often said to be linked to creativity, but earlier work treated this link mostly in theory or through qualitative examples. 3. **[QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/min-2026-quco-rag-quantifying-uncertainty-pre/)** *(2026 · 2 citations)* Dynamic RAG systems decide during generation when to fetch external evidence. Most rely on model-internal signals such as token probabilities, entropy or attention, but LLMs are poorly calibrated and can be confidently wrong. QuCo-RAG replaces these signals with counts taken from the model's pre-training corpus.… 4. **[Robust Uncertainty Quantification for Self-Evolving Large Language Models via Continual Domain Pretraining](https://md.research.elamur.ai/free/en/papers/zhou-2026-robust-uncertainty-quantification-self-evolving/)** *(2026 · 2 citations)* The paper tackles uncertainty quantification for LLMs that keep learning through continual domain pretraining (CDP), where a model is fine-tuned on one knowledge domain after another. 5. **[When and What to Ask: AskBench and Rubric-Guided RLVR for LLM Clarification](https://md.research.elamur.ai/free/en/papers/zhao-2026-when-what-ask-askbench-rubric/)** *(2026 · 2 citations)* LLMs tend to answer right away, even when a prompt leaves out decisive details or contains confidently stated errors. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Bohan Jiang](https://md.research.elamur.ai/free/en/authors/bohan-jiang/) - [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/) - [Huan Liu](https://md.research.elamur.ai/free/en/authors/huan-liu/) - [Jiale Zhao](https://md.research.elamur.ai/free/en/authors/jiale-zhao/) - [Jundong Li](https://md.research.elamur.ai/free/en/authors/jundong-li/) - [Song Wang](https://md.research.elamur.ai/free/en/authors/song-wang/) - [Tongtong Wu](https://md.research.elamur.ai/free/en/authors/tongtong-wu/) - [Zhen Tan](https://md.research.elamur.ai/free/en/authors/zhen-tan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3 - [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 99 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lu-cheng/cited-by/). Updated 31 October 2026