Weiming Lu
Weiming Lu has 3 papers in our library, in 2021–2024, most of them on Named entity recognition; often with Yongliang Shen, Yueting Zhuang, Dongsheng Li.
OpenAlex · ORCID · Wikidata · h-index 22 · 164 works · 1,564 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 551 times in our library · 13 more in our library without a page yet · ⭐ Paper Stars ranking: #2132
Affiliations
Concepts, shelves and topics
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 1Research subjects and languages the work is about.Named entity recognition · 1 work
Works by year
2020s
Papers
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face (2023 · 740 citations)
Large language models handle text well, but they cannot directly see images, hear speech, or coordinate several specialised models to finish a multi-step job. - Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition (2021 · 231 citations)
The paper addresses nested named entity recognition, where entities can contain other entities. Span-based approaches handle nesting naturally, but they have four weaknesses: they enumerate many low-quality candidates, which is computationally costly; they cannot reach entities longer than the enumeration limit; they… - Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives (2024 · 75 citations)
The paper asks why large language models rarely fix their own mistakes when they reflect without outside feedback.
All works
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceConference on Neural Information Processing Systems (NeurIPS)Yongliang Shen, Kaitao Song, Xu Tan, et al.2023 · 740 citations
- Locate and Label: A Two-stage Identifier for Nested Named Entity RecognitionAnnual Meeting of the Association for Computational Linguistics (ACL)Yongliang Shen, Xinyin Ma, Zeqi Tan, et al.2021 · 231 citations
- Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetYiquan Wu et al.2023 · 104 citations
- Self-Contrast: Better Reflection Through Inconsistent Solving PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Yongliang Shen, Linjuan Wu, et al.2024 · 75 citations
- Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetYiquan Wu et al.2022 · 61 citations
- Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetYifei Liu et al.2024 · 12 citations
- Beyond Literal Translation: Evaluating Cultural Effectiveness in Social Media UGC ↗arXiv:2605.25626 · no summary yetLinjuan Wu et al.2026 · 2 citations
- UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhengxi Lu et al.2026 · 1 citation
- CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTeng Pan et al.2026 · 1 citation
- Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHaolei Xu et al.2026 · 1 citation
- Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHengwei Liu et al.2026
- Experience-driven Multi-turn Reinforcement Learning for GUI Agents ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhengxi Lu et al.2026
- AutoTaskEval: Towards Domain-Specific and Fine-Grained Evaluation for LLMs ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetQingqing Lyu et al.2026
- When Metrics Reward the Worst Translations: Internalizing Cultural Reasoning for Social Media Translation Evaluation ↗arXiv:2609.08156 · no summary yetYiwen Qiu et al.2026
- Pause or Fabricate? Training Language Models for Grounded Reasoning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYiwen Qiu et al.2026
- Phun-Bench: Evaluating LLMs on Phonological Understanding in Chinese ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXing Yue, Yongliang Shen, Weiming Lu2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×9: ACL 2024, ACL 2021
- Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ×2
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2023
- Findings of the Association for Computational Linguistics: ACL 2026
- Findings of the Association for Computational Linguistics: NAACL 2024
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