--- title: "Yongqi Tong — author profile and papers — Elamur Research" description: "Yongqi Tong: 3 papers on Elamur Research (2023–2026), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/yongqi-tong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yongqi-tong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yongqi Tong # Yongqi Tong Yongqi Tong has 3 papers in our library, in 2023–2026, 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Jingbo Shang](https://md.research.elamur.ai/free/en/authors/jingbo-shang/), [Yujia Wang](https://md.research.elamur.ai/free/en/authors/yujia-wang/), [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5010726742) · [**h-index 2**](https://openalex.org/authors/A5010726742) · [10 works](https://openalex.org/works?filter=author.id:A5010726742) · [65 citations](https://openalex.org/works?filter=author.id:A5010726742&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yongqi-tong/#papers) · [🔗 Cited 130 times in our library](https://md.research.elamur.ai/free/en/authors/yongqi-tong/cited-by/) · [⭐ Paper Stars ranking: #5755](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5755) 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=Yongqi+Tong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yongqi+Tong) · [dblp](https://dblp.org/search?q=Yongqi+Tong) · [ACL Anthology](https://aclanthology.org/search/?q=Yongqi+Tong) ## Affiliations [🎓**University of California San Diego** San Diego · United States 2023–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Industrial and Manufacturing Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/industrial-and-manufacturing-engineering/) 🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yongqi-tong/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yongqi-tong/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yongqi-tong/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation](https://md.research.elamur.ai/free/en/papers/lin-2023-toxicchat-unveiling-hidden-challenges-toxicity/)** *(2023 · 136 citations)* Most toxicity detectors are trained on social media text. Users of LLM chatbots behave differently: they phrase harmful intent as questions or instructions, and they sometimes use "jailbreaking" prompts that look benign but aim to make the model bypass its policies. To study this gap, the authors built ToxicChat, the… 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. **[How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel](https://md.research.elamur.ai/free/en/papers/tong-2026-how-train-real-world-silicon/)** *(2026)* Industrial customer-service agents are usually built as chains of separate modules: routing, retrieval, planning, execution, response writing and review, as in the PEER pipeline. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Jingbo Shang](https://md.research.elamur.ai/free/en/authors/jingbo-shang/) ×2 - [Yujia Wang](https://md.research.elamur.ai/free/en/authors/yujia-wang/) ×2 - [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/) - [Sizhe Wang](https://md.research.elamur.ai/free/en/authors/sizhe-wang/) - [Xin Zhang](https://md.research.elamur.ai/free/en/authors/xin-zhang/) - [Yuxin Guo](https://md.research.elamur.ai/free/en/authors/yuxin-guo/) - [Zi Lin](https://md.research.elamur.ai/free/en/authors/zi-lin/) - [Zihan Wang](https://md.research.elamur.ai/free/en/authors/zihan-wang/) ## 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/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) ## Cited by Papers of our library cite their works 130 times (of the 149,439 papers whose bibliographies we read); [35 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yongqi-tong/cited-by/). Updated 1 November 2026