--- title: "Ke Zeng — author profile and papers — Elamur Research" description: "Ke Zeng, University of Chinese Academy of Sciences: 4 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/ke-zeng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ke-zeng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ke Zeng # Ke Zeng Ke Zeng has 4 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Cao Liu](https://md.research.elamur.ai/free/en/authors/cao-liu/), [Xuxin Cheng](https://md.research.elamur.ai/free/en/authors/xuxin-cheng/), [Wenyuan Jiang](https://md.research.elamur.ai/free/en/authors/wenyuan-jiang/). 4 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139839379) · [ORCID](https://orcid.org/0009-0005-9249-0995) · [**h-index 0**](https://openalex.org/authors/A5139839379) · [53 works](https://openalex.org/works?filter=author.id:A5139839379) · [0 citations](https://openalex.org/works?filter=author.id:A5139839379&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/ke-zeng/#papers) · [🔗 Cited 15 times in our library](https://md.research.elamur.ai/free/en/authors/ke-zeng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11235](https://md.research.elamur.ai/free/en/paper-stars/page/113/#star-11235) 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=Ke+Zeng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ke+Zeng) · [dblp](https://dblp.org/search?q=Ke+Zeng) · [ACL Anthology](https://aclanthology.org/search/?q=Ke+Zeng) ## Affiliations [🏢**Meituan** Beijing · China 2025–2026 · 24 papersEmployment*current*](https://md.research.elamur.ai/free/en/companies/meituan/) · [🎓**Southeast University** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/) · [🎓**Tsinghua University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) 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).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Networks and Communications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-networks-and-communications/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/ke-zeng/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning](https://md.research.elamur.ai/free/en/papers/fu-2026-maspo-unifying-gradient-utilization-probability/)** *(2026 · 7 citations)* RLVR methods like GRPO inherit PPO-style hard clipping, which the authors argue is poorly suited to how LLMs learn reasoning. 2. **[SILO-BENCH: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-silo-bench-scalable-environment-evaluating/)** *(2026 · 2 citations)* Multi-agent LLM setups are often proposed as a way around context-window limits: each agent holds part of the data, and together they should compute a global answer. 3. **[DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffa-2-practical-diffusion-large/)** *(2026)* Large audio language models are mostly autoregressive. They need a lot of data and compute to scale, and their token-by-token decoding slows inference. The earlier DIFFA work showed that a diffusion LLM backbone can help audio understanding, but only at a small, proof-of-concept scale. DIFFA-2 develops this into a… 4. **[When 20 Agents Fail to Sort: The Distributed Sorting Benchmark for Scalable Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/yang-2026-when-20-agents-fail-sort/)** *(2026)* The paper examines whether LLM-based agents can coordinate without heavy human scaffolding, such as predefined roles or scripted pipelines. ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning](https://md.research.elamur.ai/free/en/papers/fu-2026-maspo-unifying-gradient-utilization-probability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoliang Fu, Jiaye Lin, Yangyi Fang, et al.*2026 · 7 citations* 2. **[Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level ↗](https://arxiv.org/abs/2605.06387) arXiv:2605.06387 · no summary yet**Nan Jia et al.*2026 · 6 citations* 3. **[SILO-BENCH: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-silo-bench-scalable-environment-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuzhe Zhang, Feiran Liu, Yi Shan, et al.*2026 · 2 citations* 4. **[DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffa-2-practical-diffusion-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Zhou, Xuxin Cheng, Shiwan Zhao, et al.*2026* 5. **[When 20 Agents Fail to Sort: The Distributed Sorting Benchmark for Scalable Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/yang-2026-when-20-agents-fail-sort/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xin Yang, Junhao Wang, Bintao Tang, et al.*2026* ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Cao Liu](https://md.research.elamur.ai/free/en/authors/cao-liu/) ×3 - [Xuxin Cheng](https://md.research.elamur.ai/free/en/authors/xuxin-cheng/) ×3 - [Wenyuan Jiang](https://md.research.elamur.ai/free/en/authors/wenyuan-jiang/) ×2 - [Xin Yang](https://md.research.elamur.ai/free/en/authors/xin-yang/) ×2 - [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/) ×2 - [Binbin Zheng](https://md.research.elamur.ai/free/en/authors/binbin-zheng/) - [Feiran Liu](https://md.research.elamur.ai/free/en/authors/feiran-liu/) - [Jiaming Zhou](https://md.research.elamur.ai/free/en/authors/jiaming-zhou/) - [Lu Pan](https://md.research.elamur.ai/free/en/authors/lu-pan/) - [Shiwan Zhao](https://md.research.elamur.ai/free/en/authors/shiwan-zhao/) - [Terry Jingchen Zhang](https://md.research.elamur.ai/free/en/authors/terry-jingchen-zhang/) - [Yong Qin](https://md.research.elamur.ai/free/en/authors/yong-qin/) ## 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 - [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/) ×2 ## Cited by Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ke-zeng/cited-by/). Updated 2 November 2026