--- title: "Shengyi Liao — author profile and papers · Reasoning" description: "Shengyi Liao: 3 papers on Elamur Research (2024–2025), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/shengyi-liao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shengyi-liao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shengyi Liao # Shengyi Liao Shengyi Liao has 3 papers in our library, in 2024–2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/), [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/), [Weizhou Shen](https://md.research.elamur.ai/free/en/authors/weizhou-shen/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5109738424) · [**h-index 2**](https://openalex.org/authors/A5109738424) · [11 works](https://openalex.org/works?filter=author.id:A5109738424) · [19 citations](https://openalex.org/works?filter=author.id:A5109738424&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shengyi-liao/#papers) · [🔗 Cited 81 times in our library](https://md.research.elamur.ai/free/en/authors/shengyi-liao/cited-by/) · [⭐ Paper Stars ranking: #6902](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6902) 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=Shengyi+Liao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shengyi+Liao) · [dblp](https://dblp.org/search?q=Shengyi+Liao) · [ACL Anthology](https://aclanthology.org/search/?q=Shengyi+Liao) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2024–2025 · 6 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba Group** George Town · Cayman Islands 2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) · [🏢**Alibaba Group** San Mateo · United States 2025 · 2 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group-united-states/) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/shengyi-liao/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/shengyi-liao/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA](https://md.research.elamur.ai/free/en/papers/wang-2024-leave-no-document-behind-benchmarking/)** *(2024 · 72 citations)* Most current long-context benchmarks make inputs longer by padding them with unrelated filler text. In those setups, the evidence for an answer usually sits in one place, so a model can skip most of the input and still answer correctly. Wang et al. address this with Loong, a multi-document QA benchmark where every… 2. **[QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wan-2025-qwenlong-l1-long-context/)** *(2025 · 13 citations)* Reinforcement learning has made large reasoning models (LRMs) much better at problems with short inputs. It is still unclear how to train them to reason over very long documents, potentially around 120K tokens. The authors frame this as "long-context reasoning RL," where the model must first find and ground the… 3. **[QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management](https://md.research.elamur.ai/free/en/papers/shen-2025-qwenlong-l1-5-post/)** *(2025 · 10 citations)* Research on long contexts has mostly targeted pre-training and architecture, so post-training lags behind. ## Co-authors here 12 of 22 co-authors with a page, the most papers together first. - [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/) ×2 - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) ×2 - [Weizhou Shen](https://md.research.elamur.ai/free/en/authors/weizhou-shen/) ×2 - [Yingcheng Shi](https://md.research.elamur.ai/free/en/authors/yingcheng-shi/) ×2 - [Ziyi Yang](https://md.research.elamur.ai/free/en/authors/ziyi-yang/) ×2 - [Bingli Wu](https://md.research.elamur.ai/free/en/authors/bingli-wu/) - [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/) - [Dayiheng Liu](https://md.research.elamur.ai/free/en/authors/dayiheng-liu/) - [Fanqi Wan](https://md.research.elamur.ai/free/en/authors/fanqi-wan/) - [Haiyang Yu](https://md.research.elamur.ai/free/en/authors/haiyang-yu/) - [Huashan Sun](https://md.research.elamur.ai/free/en/authors/huashan-sun/) - [Ji Zhang](https://md.research.elamur.ai/free/en/authors/ji-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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 81 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shengyi-liao/cited-by/). Updated 30 October 2026