--- title: "Yi Chen — author profile and papers — Elamur Research" description: "Yi Chen, New Jersey Institute of Technology: 5 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yi-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yi-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yi Chen # Yi Chen Yi Chen has 5 papers in our library, in 2023–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/), [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/), [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/). 5 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139830476) · [**h-index 0**](https://openalex.org/authors/A5139830476) · [4 works](https://openalex.org/works?filter=author.id:A5139830476) · [0 citations](https://openalex.org/works?filter=author.id:A5139830476&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/yi-chen/#papers) · [🔗 Cited 64 times in our library](https://md.research.elamur.ai/free/en/authors/yi-chen/cited-by/) · [⭐ Paper Stars ranking: #6405](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6405) 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=Yi+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yi+Chen) · [dblp](https://dblp.org/search?q=Yi+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Yi+Chen) ## Affiliations [🎓**New Jersey Institute of Technology** Newark · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/new-jersey-institute-of-technology/) 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 8 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/) · [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/) · [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 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/yi-chen/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yi-chen/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yi-chen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study](https://md.research.elamur.ai/free/en/papers/chen-2023-exploring-use-large-language-models/)** *(2023 · 113 citations)* The paper asks whether large language models, mainly ChatGPT, can judge the quality of generated text without human-written references, and which way of prompting them works best. 2. **[Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-harnessing-reasoning-economy-survey-efficient/)** *(2025 · 16 citations)* Large Reasoning Models such as OpenAI o1, DeepSeek R1 and QwQ solve hard math and coding problems by producing long chains of thought. 3. **[MR-ALIGN: Meta-Reasoning Informed Factuality Alignment for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-mr-align-meta-reasoning-informed/)** *(2026 · 2 citations)* Large reasoning models (LRMs) handle multi-step problems well, but extended thinking adds little on fact-based questions. 4. **[WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models](https://md.research.elamur.ai/free/en/papers/wang-2026-webaggregator-enhancing-compositional-reasoning-capabilities/)** *(2026 · 1 citation)* Deep Research agents need more than retrieval. They must combine scattered, heterogeneous evidence through multi-step reasoning. Existing training and evaluation resources mostly reward locating a single entity, so agents learn to call tools often instead of reasoning carefully. 5. **[Multilingual Disparities in LLM-Based Safety Judgments: Evidence from Brand Safety Applications](https://md.research.elamur.ai/free/en/papers/liu-2026-multilingual-disparities-llm-based-safety/)** *(2026)* The paper tests a common assumption about multilingual LLM judges: that the same content gets the same verdict whatever its language. The authors study this in brand safety, where automated ratings decide whether advertisers place ads next to news. That decision affects publisher income and advertiser reputation. ## Co-authors here 12 of 29 co-authors with a page, the most papers together first. - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) ×3 - [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/) ×2 - [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/) ×2 - [Bin Yu](https://md.research.elamur.ai/free/en/authors/bin-yu/) - [Cheng-Lin Liu](https://md.research.elamur.ai/free/en/authors/cheng-lin-liu/) - [Cristian Borcea](https://md.research.elamur.ai/free/en/authors/cristian-borcea/) - [Derek F. Wong](https://md.research.elamur.ai/free/en/authors/derek-f-wong/) - [Dong Yu](https://md.research.elamur.ai/free/en/authors/dong-yu/) - [Guanhua Chen](https://md.research.elamur.ai/free/en/authors/guanhua-chen/) - [Haitao Mi](https://md.research.elamur.ai/free/en/authors/haitao-mi/) - [Haiyun Jiang](https://md.research.elamur.ai/free/en/authors/haiyun-jiang/) - [Han Hu](https://md.research.elamur.ai/free/en/authors/han-hu/) ## 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/) ×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 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) - [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/) - [Workshop on Multilinguality in the Era of Large Language Models](https://md.research.elamur.ai/free/en/venues/mellm/): [Workshop on Multilinguality in the Era of Large Language Models 2026](https://md.research.elamur.ai/free/en/venues/mellm/2026/) ## Cited by Papers of our library cite their works 64 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yi-chen/cited-by/). Updated 1 November 2026