Elamur Research⌕
☰
home / authors / Huawei Shen

Huawei Shen

Huawei Shen has 5 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Xueqi Cheng, Fei Sun, Jingang Wang.

5 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 39 · 207 works · 7,196 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 122 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #7876

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

🔬Institute of Computing TechnologyBeijing · China2008–2026 · 172 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2008–2026 · 168 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2008–2025 · 70 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksEvaluation & benchmarks · 1 workMultilingual & cross-lingual NLP · 1 workReasoning · 1 work

 Works by year

2020s

20262 papers20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models (2025 · 20 citations)
    Most knowledge editing research updates and evaluates a model in a single language. This paper asks whether such edits hold up across languages and in multi-hop reasoning. The authors built MLaKE, a benchmark covering English, Chinese, Japanese, French and German. They extracted fact chains from Wikidata using a…
  2. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs (2025 · 12 citations)
    LLM error detectors often treat agreement across sampled answers as a sign of correctness. This paper identifies a blind spot in that assumption: self-consistent errors , where a model gives the same wrong answer, up to semantic equivalence, in its greedy output and in all stochastic samples. The authors define these…
  3. The Mirage of Model Editing: Revisiting Evaluation in the Wild (2025 · 9 citations)
    Published model-editing results often look nearly perfect. This paper asks whether those results hold once the evaluation reflects how an edited LLM would actually be used. The authors build QAEdit, a benchmark drawn from Natural Questions, TriviaQA and SimpleQA. GPT-4 adds the subjects and paraphrased prompts that…
  4. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis (2026 · 6 citations)
    Reasoning LLMs often keep generating "thinking" tokens after they already have enough information to answer, which wastes compute and is known as overthinking.
  5. Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems (2026)
    LLM-based multi-agent systems coordinate their agents through workflows. These workflows are built either once per task or separately for each query. The authors ask whether per-query generation is really needed. They also ask whether task-level search must pay for a full validation run on every candidate. On DROP…

All works

12 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. Beyond Low-frequency Information in Graph Convolutional Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetDeyu Bo et al.2021 · 557 citations
  2. Cross-Domain Recommendation: An Embedding and Mapping Approach ↗International Joint Conference on Artificial Intelligence · no summary yetTong Man et al.2017 · 447 citations
  3. Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetZixuan Li et al.2021 · 409 citations
  4. Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetBingbing Xu et al.2021 · 79 citations
  5. MLaKE: Multilingual Knowledge Editing Benchmark for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Zihao Wei, Jingcheng Deng, Liang Pang, et al.2025 · 20 citations
  6. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Hexiang Tan, Fei Sun, Sha Liu, et al.2025 · 12 citations
  7. The Mirage of Model Editing: Revisiting Evaluation in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Wanli Yang, Fei Sun, Jiajun Tan, et al.2025 · 9 citations
  8. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Wei, Liang Pang, Jiahao Liu, et al.2026 · 6 citations
  9. Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent SystemsFindings of the Association for Computational LinguisticsZixu Wang, Bingbing Xu, Yige Yuan, et al.2026
  10. Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiucheng Xu et al.2026
  11. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTian Xueyun et al.2026
  12. ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetTian Xueyun et al.2026

 Co-authors here

12 of 19 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 122 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/huawei-shen/