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Yang Wang

Yang Wang has 7 papers in our library, in 2023–2026, most of them on Language models & pretraining, Information extraction, Morphology; often with Bo Li, Chao Zhang, Enhong Chen.

7 papers in our library · 2023–2026

OpenAlex · h-index 0 · 6 works · 0 citations OpenAlex, 2026-10-14

📄 7 works in our library · 🔗 Cited 141 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3996

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Science and Technology of ChinaHefei · China2026 · 3 paperscurrent

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 11The field of science this work belongs to (OpenAlex fields).Computer Science · 6 worksArtificial Intelligence · 6 worksArts and Humanities · 5 worksLanguage and Linguistics · 5 worksInformation Systems · 3 worksSocial Sciences · 1 workSociology and Political Science · 1 workExperimental and Cognitive Psychology · 2 worksPsychology · 2 worksDevelopmental and Educational Psychology · 1 workSocial Psychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information extraction · 1 workLanguage models & pretraining · 1 workMorphology · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Information extraction · 1 work

 Works by year

2020s

20264 papers20252 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models for Generative Information Extraction: A Survey (2023 · 406 citations)
    Information extraction (IE) turns raw text into structured knowledge such as entities, relations and events.
  2. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems (2025 · 30 citations)
    Multi-agent systems built on LLMs inherit the weaknesses of single agents. They also gain a new one: a compromised agent can spread misinformation or malicious instructions through inter-agent communication until much of the system is corrupted. G-Safeguard defends against this by treating the system's communication…
  3. WideSearch: Benchmarking Agentic Broad Info-Seeking (2025 · 20 citations)
    Many everyday and professional information needs, such as listing every job opening or admission threshold that matches a set of conditions, are hard because of their scale and the need for exactness, not because of deep reasoning.
  4. TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy Optimization (2026 · 7 citations)
    The paper looks at reinforcement learning for LLM agents that answer questions by searching the web over several turns.
  5. CAR: Empowering Agents with Dynamic Tool Synthesis and Global Trajectory Rectification (2026)
    Tool-using LLM agents built on ReAct or Plan-and-Solve assume a fixed toolset. When a needed tool is missing, they fall back on long chains of atomic API calls. These chains can hit limits such as rate caps, and the agents then retry blindly. The retries fill the context with error logs and lead to hallucinated or…
  6. Learning reduplicative templates as hidden structures: the case of reduplication-phonology interactions (2026)
    Computational models of morphophonology have mostly dealt with concatenative morphology. This paper addresses reduplication, where a learner must work out three things at once: the prosodic template that controls copying, the underlying representations (URs) of morphemes, and the phonological grammar. Yang Wang…
  7. Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning (2026)
    Automated depression assessment usually reduces a clinical interview to a single number, such as a total scale score or a severity class.

All works

8 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

  1. Large Language Models for Generative Information Extraction: A SurveyFrontiers of Computer ScienceDerong Xu, Wei Chen, Wenjun Peng, et al.2023 · 406 citations
  2. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Shilong Wang, Guibin Zhang, Miao Yu, et al.2025 · 30 citations
  3. WideSearch: Benchmarking Agentic Broad Info-SeekingarXiv:2508.07999Ryan Wong, Jiawei Wang, Junjie Zhao, et al.2025 · 20 citations
  4. TSPO: Breaking the Double Homogenization Dilemma in Multi-turn Search Policy OptimizationFindings of the Association for Computational LinguisticsShichao Ma, Zhiyuan Ma, Ming Yang, et al.2026 · 7 citations
  5. CAR: Empowering Agents with Dynamic Tool Synthesis and Global Trajectory RectificationFindings of the Association for Computational LinguisticsKai Wang, Xu Wang, Zhiyuan Fu, et al.2026
  6. Learning reduplicative templates as hidden structures: the case of reduplication-phonology interactionsSociety for Computation in Linguistics (SCiL)Yang Wang2026
  7. Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenguang Wang, Bo Li, Wenhui Tan, et al.2026
  8. ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXuan Xiong et al.2026

 Co-authors here

12 of 25 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 141 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

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