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Zheng Lian

Zheng Lian has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Sentiment & emotion, Reasoning; often with Chonghua Liao, Feihu Che, Haoran Luo.

2 papers in our library · 2024–2026

OpenAlex · h-index 0 · 1 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #9495

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

🏛️Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent🔬Institute of AutomationBeijing · China2026 · 1 papercurrent

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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Sentiment & emotion · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding (2024 · 35 citations)
    The paper tests a common belief: that large language models have essentially solved fast, intuitive "System I" tasks such as sentiment classification.
  2. Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models (2026)
    Standard in-context learning (ICL) teaches LLMs by showing worked examples. The model then copies their surface form, which breaks down on hard multi-step problems. Results also depend heavily on how the demonstrations are chosen and ordered. ThoughtICR swaps concrete examples for abstract reasoning strategies.

 Co-authors here

12 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 12 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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