--- title: "Bingli Wu — author profile and papers · Question answering" description: "Bingli Wu: 3 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/bingli-wu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bingli-wu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bingli Wu # Bingli Wu Bingli Wu has 3 papers in our library, in 2024–2026, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Haiyang Yu](https://md.research.elamur.ai/free/en/authors/haiyang-yu/), [Xinghua Zhang](https://md.research.elamur.ai/free/en/authors/xinghua-zhang/), [Yongbin Li](https://md.research.elamur.ai/free/en/authors/yongbin-li/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5013864516) · [**h-index 2**](https://openalex.org/authors/A5013864516) · [9 works](https://openalex.org/works?filter=author.id:A5013864516) · [44 citations](https://openalex.org/works?filter=author.id:A5013864516&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/bingli-wu/#papers) · [🔗 Cited 84 times in our library](https://md.research.elamur.ai/free/en/authors/bingli-wu/cited-by/) · [⭐ Paper Stars ranking: #6853](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6853) 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=Bingli+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bingli+Wu) · [dblp](https://dblp.org/search?q=Bingli+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Bingli+Wu) ## Affiliations [🎓**Huazhong University of Science and Technology** Wuhan · China 2019–2022 · 6 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 6 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](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/) 🧭 Topics 1 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/bingli-wu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/bingli-wu/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. **[ExpSeek: Self-Triggered Experience Seeking for Web Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-expseek-self-triggered-experience-seeking/)** *(2026 · 24 citations)* Web agents that search the open web often explore poorly or answer too early, particularly when built on small LLMs. 3. **[EvoRoute: Experience-Driven Self-Routing LLM Agent Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-evoroute-experience-driven-self-routing/)** *(2026 · 2 citations)* Multi-model agentic systems for deep research perform well but often run slowly and cost a lot. The authors frame this as the Agent System Trilemma : it is hard to get high accuracy, low monetary cost and fast completion at the same time. Their solution, EvoRoute , chooses an LLM backbone for every individual step of… ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Haiyang Yu](https://md.research.elamur.ai/free/en/authors/haiyang-yu/) ×3 - [Xinghua Zhang](https://md.research.elamur.ai/free/en/authors/xinghua-zhang/) ×2 - [Yongbin Li](https://md.research.elamur.ai/free/en/authors/yongbin-li/) ×2 - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Guibin Zhang](https://md.research.elamur.ai/free/en/authors/guibin-zhang/) - [Lei Zhang](https://md.research.elamur.ai/free/en/authors/lei-zhang/) - [Min Yang](https://md.research.elamur.ai/free/en/authors/min-yang/) - [Minzheng Wang](https://md.research.elamur.ai/free/en/authors/minzheng-wang/) - [Nan Xu](https://md.research.elamur.ai/free/en/authors/nan-xu/) - [Run Luo](https://md.research.elamur.ai/free/en/authors/run-luo/) - [Shengyi Liao](https://md.research.elamur.ai/free/en/authors/shengyi-liao/) - [Shuaiyi Nie](https://md.research.elamur.ai/free/en/authors/shuaiyi-nie/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 84 times (of the 149,439 papers whose bibliographies we read); [26 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bingli-wu/cited-by/). Updated 1 November 2026