--- title: "Boyang Xue — author profile and papers — Elamur Research" description: "Boyang Xue, Chinese University of Hong Kong: 5 papers on Elamur Research (2025–2026), h-index 6 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/boyang-xue/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/boyang-xue/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Boyang Xue # Boyang Xue Boyang Xue has 5 papers in our library, in 2025–2026, 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/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/); often with [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/), [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/), [Jeff Z. Pan](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/). 5 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5033502057) · [ORCID](https://orcid.org/0000-0003-0731-3977) · [Wikidata](https://www.wikidata.org/wiki/Q130964273) · [**h-index 6**](https://openalex.org/authors/A5033502057) · [28 works](https://openalex.org/works?filter=author.id:A5033502057) · [134 citations](https://openalex.org/works?filter=author.id:A5033502057&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/boyang-xue/#papers) · [🔗 Cited 22 times in our library](https://md.research.elamur.ai/free/en/authors/boyang-xue/cited-by/) · [⭐ Paper Stars ranking: #10117](https://md.research.elamur.ai/free/en/paper-stars/page/102/#star-10117) 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=Boyang+Xue) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Boyang+Xue) · [dblp](https://dblp.org/search?q=Boyang+Xue) · [ACL Anthology](https://aclanthology.org/search/?q=Boyang+Xue) ## Affiliations [🎓**Chinese University of Hong Kong** Hong Kong · China 2021–2026 · 21 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) 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 · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/boyang-xue/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/boyang-xue/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[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. 2. **[Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2025-self-error-instruct-generalizing-errors/)** *(2025 · 5 citations)* LLMs still make many mistakes on math problems. Earlier error-driven methods build new training data from single failed examples, so the data tends to stay tied to those instances. Self-Error-Instruct (SEI) instead groups failures by error type. First, a target model is run on the GSM8K and MATH training sets to… 3. **[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. 4. **[Mitigating Context Interference for Reliable and Efficient Search Agents](https://md.research.elamur.ai/free/en/papers/xue-2026-mitigating-context-interference-reliable-efficient/)** *(2026)* Multi-turn LLM search agents repeatedly query a retriever and add the returned documents to their working context. 5. **[Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize](https://md.research.elamur.ai/free/en/papers/wang-2026-self-sum-teaching-agent-decide/)** *(2026)* Agents that tackle long tasks pile up reasoning steps, actions and observations. Their context grows noisy and expensive to process. Common fixes compress history on a fixed schedule or hand the job to an external model. These approaches ignore where the agent actually is in the task and can discard crucial details.… ## Co-authors here 12 of 34 co-authors with a page, the most papers together first. - [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/) ×4 - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) ×4 - [Jeff Z. Pan](https://md.research.elamur.ai/free/en/authors/jeff-z-pan/) ×2 - [Kam-Fai Wong](https://md.research.elamur.ai/free/en/authors/kam-fai-wong/) ×2 - [Yi Chen](https://md.research.elamur.ai/free/en/authors/yi-chen/) ×2 - [Aldo Lipani](https://md.research.elamur.ai/free/en/authors/aldo-lipani/) - [Amos Storkey](https://md.research.elamur.ai/free/en/authors/amos-storkey/) - [Baojun Wang](https://md.research.elamur.ai/free/en/authors/baojun-wang/) - [Bin Wu](https://md.research.elamur.ai/free/en/authors/bin-wu/) - [Ce Zhang](https://md.research.elamur.ai/free/en/authors/ce-zhang/) - [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/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [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 22 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/boyang-xue/cited-by/). Updated 2 November 2026