🧑‍🔬 Shuo Yang

🏛️ Affiliations

🎓University of Hong KongPok Fu Lam · China2026 · 2 paperscurrent🎓Munich Center for Machine LearningMunich · Germany2026 · 1 papercurrent

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Rethinking Benchmark and Contamination for Language Models with Rephrased Samples (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 (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 (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 (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 SamplesarXiv:2311.04850Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.2023 · 103 citations
2. SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic LearningAnnual Meeting of the Association for Computational Linguistics (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 SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shuo Yang, Caren Han, Xueqi Ma, et al.2026 · 6 citations
4. GenomeQA: Benchmarking General Large Language Models for Genome Sequence UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Weicai Long, Yusen Hou, Junning Feng, et al.2026
5. SAGE: Sparse Adaptive Guidance for Dependency-Aware Tabular Data Generation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShuo Yang et al.2026

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Eduard Hovy
• Ion Gabriel Stoica
• Jianhua Tao
• Jinyang Wu
• Joseph E. Gonzalez
• Lianmin Zheng
• Shuai Zhang
• Wei-Lin Chiang
• Yan Li
• Yuhao Shen
• 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) ×4: 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 →.

Updated 1 November 2026

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