--- title: "Shuo Yang — author profile and papers — Elamur Research" description: "Shuo Yang, Munich Center for Machine Learning: 4 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/shuo-yang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shuo-yang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shuo Yang # Shuo Yang Shuo Yang has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Eduard Hovy](https://md.research.elamur.ai/free/en/authors/eduard-hovy/), [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/), [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5139757557) · [**h-index 0**](https://openalex.org/authors/A5139757557) · [5 works](https://openalex.org/works?filter=author.id:A5139757557) · [0 citations](https://openalex.org/works?filter=author.id:A5139757557&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/shuo-yang/#papers) · [🔗 Cited 113 times in our library](https://md.research.elamur.ai/free/en/authors/shuo-yang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6550](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6550) 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=Shuo+Yang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shuo+Yang) · [dblp](https://dblp.org/search?q=Shuo+Yang) · [ACL Anthology](https://aclanthology.org/search/?q=Shuo+Yang) ## Affiliations [🎓**University of Hong Kong** Pok Fu Lam · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**Munich Center for Machine Learning** Munich · Germany 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/munich-center-for-machine-learning/) 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).[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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) 🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/shuo-yang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/shuo-yang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Rethinking Benchmark and Contamination for Language Models with Rephrased Samples](https://md.research.elamur.ai/free/en/papers/yang-2023-rethinking-benchmark-contamination-language-models/)** *(2023 · 103 citations)* Public LLM benchmarks can leak into training corpora. Standard decontamination looks for surface similarity, using either n-gram overlap or an embedding-similarity threshold. The authors show that these checks are easy to get around. They had GPT-4 reword test items, or rewrite code in a different style or… 2. **[SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-spark-strategic-policy-aware-exploration/)** *(2026 · 11 citations)* Training LLM agents with reinforcement learning on long, multi-step tasks is difficult because successful trajectories are rare, especially when compute is limited. 3. **[EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection](https://md.research.elamur.ai/free/en/papers/yang-2026-evotool-self-evolving-tool-use/)** *(2026 · 6 citations)* LLM agents that call external tools often fail in long, multi-step tasks. Feedback usually arrives only at the end, so it is hard to tell which step caused a failure. Prior optimizers either rewrite the whole agent prompt, which can break unrelated behaviors, or tune a single component and miss errors that spread… 4. **[GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding](https://md.research.elamur.ai/free/en/papers/long-2026-genomeqa-benchmarking-general-large-language/)** *(2026)* General-purpose LLMs are increasingly used as assistants in genomics, but it is unclear how they behave when given raw DNA sequences rather than annotations or text-only questions. ## 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. [**Rethinking Benchmark and Contamination for Language Models with Rephrased Samples arXiv:2311.04850**Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-rethinking-benchmark-contamination-language-models/) 2. **[SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-spark-strategic-policy-aware-exploration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Shuo Yang, Yuhao Shen, et al.*2026 · 11 citations* 3. **[EVOTOOL: Self-Evolving Tool-Use Policy Optimization in LLM Agents via Blame-Aware Mutation and Diversity-Aware Selection](https://md.research.elamur.ai/free/en/papers/yang-2026-evotool-self-evolving-tool-use/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuo Yang, Caren Han, Xueqi Ma, et al.*2026 · 6 citations* 4. **[GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding](https://md.research.elamur.ai/free/en/papers/long-2026-genomeqa-benchmarking-general-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weicai Long, Yusen Hou, Junning Feng, et al.*2026* 5. **[SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation ↗](https://aclanthology.org/2026.acl-long.174/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shuo Yang et al.*2026* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Eduard Hovy](https://md.research.elamur.ai/free/en/authors/eduard-hovy/) - [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/) - [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/) - [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/) - [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/) - [Lianmin Zheng](https://md.research.elamur.ai/free/en/authors/lianmin-zheng/) - [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/) - [Wei-Lin Chiang](https://md.research.elamur.ai/free/en/authors/wei-lin-chiang/) - [Yan Li](https://md.research.elamur.ai/free/en/authors/yan-li/) - [Yuhao Shen](https://md.research.elamur.ai/free/en/authors/yuhao-shen/) - [Zhengqi Wen](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/) ## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3 ## Cited by Papers of our library cite their works 113 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shuo-yang/cited-by/). Updated 1 November 2026