Zhen Wan
Zhen Wan has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Information extraction, Speech & spoken language; often with Fei Cheng, Jiwei Li, Qianying Liu.
OpenAlex · ORCID · h-index 9 · 68 works · 413 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 142 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4918
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 3 worksSignal Processing · 1 work
🧭 Topics 6Research subjects and languages the work is about.Language models & pretraining · 2 worksInformation extraction · 1 workEnglish · 1 workMultilingual & cross-lingual NLP · 1 workReasoning · 1 workSpeech & spoken language · 1 work
Works by year
2020s
Papers
- GPT-RE: In-context Learning for Relation Extraction using Large Language Models (2023 · 253 citations)
Large language models such as GPT-3 do well on many tasks through in-context learning (ICL), but on relation extraction (RE) they have trailed fine-tuned models like BERT-based PURE. - Pushing the Limits of ChatGPT on NLP Tasks (2023 · 28 citations)
When used through in-context prompting, ChatGPT usually lags behind fully supervised models on standard NLP benchmarks. - Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in? (2024 · 24 citations)
This study asks which language non-English-centric LLMs rely on in their hidden layers. Earlier work found that Llama-2 routes processing through English. The authors focus on Japanese and compare three model types. Llama-2 is English-centric. Swallow is Llama-2 with continued pre-training (CPT) on Japanese. LLM-jp… - Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception (2026)
Omni-modal models that process audio and text should, in principle, improve speech recognition when also given transcripts from an external ASR system.
All works
- GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Wan, Fei Cheng, Zhuoyuan Mao, et al.2023 · 253 citations
- Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
- Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?arXiv:2408.10811Chengzhi Zhong, Fei Cheng, Qianying Liu, et al.2024 · 24 citations
- Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetZhen Wan et al.2024 · 19 citations
- Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni PerceptionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, et al.2026
Co-authors here
- Fei Cheng ×3
- Jiwei Li ×2
- Qianying Liu ×2
- Sadao Kurohashi ×2
- Ankita Pasad
- Chao-Han Huck Yang
- Chenhui Chu
- Fei Qing Wu
- Guoyin Wang
- Haiyue Song
- Jinchuan Tian
- Linfeng Dong
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2023
- Findings of the Association for Computational Linguistics: ACL 2024
Cited by
Updated
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