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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.

4 papers in our library · 2023–2026

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

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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.
  3. 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…
  4. 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

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. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
  2. 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
  3. 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

 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 142 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

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