--- title: "Chao Ye — author profile and papers — Elamur Research" description: "Chao Ye, Baidu: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/chao-ye/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chao-ye/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chao Ye # Chao Ye Chao Ye has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/), [Haobo Wang](https://md.research.elamur.ai/free/en/authors/haobo-wang/), [Yuhang Yang](https://md.research.elamur.ai/free/en/authors/yuhang-yang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5059692314) · [ORCID](https://orcid.org/0009-0008-9113-048X) · [Wikidata](https://www.wikidata.org/wiki/Q130823786) · [**h-index 1**](https://openalex.org/authors/A5059692314) · [3 works](https://openalex.org/works?filter=author.id:A5059692314) · [1 citations](https://openalex.org/works?filter=author.id:A5059692314&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chao-ye/#papers) · [⭐ Paper Stars ranking: #13470](https://md.research.elamur.ai/free/en/paper-stars/page/135/#star-13470) 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=Chao+Ye) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chao+Ye) · [dblp](https://dblp.org/search?q=Chao+Ye) · [ACL Anthology](https://aclanthology.org/search/?q=Chao+Ye) ## Affiliations [🏢**Baidu** Beijing · China 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/baidu/) 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 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 3 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/chao-ye/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Novel Matching Paradigm: Unified Generative and Discriminative LLM with Prompt Compression for Relevance Learning](https://md.research.elamur.ai/free/en/papers/zhao-2026-novel-matching-paradigm-unified-generative/)** *(2026)* The paper addresses query–landing-page relevance in industrial search advertising. In this setting, LLMs usually act only as feature extractors, and two-tower or single-tower matchers return bare scores with no explanation. The authors, from Baidu Search Ads and Xi'an Jiaotong University, propose UGD (Unified… 2. **[Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection](https://md.research.elamur.ai/free/en/papers/yang-2026-everyone-is-unique-behaviorally-heterogeneous/)** *(2026)* Debt collection is a demanding negotiation setting. Existing negotiation benchmarks treat users as rational agents whose preferences never change, but real debtors vary widely in emotion, reasoning ability and manner of speaking. The authors had access to confidential collector–debtor conversations from a fintech… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Haobo Wang](https://md.research.elamur.ai/free/en/authors/haobo-wang/) - [Yuhang Yang](https://md.research.elamur.ai/free/en/authors/yuhang-yang/) ## 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/) ×2 Updated 2 November 2026