---
title: "Zheng Lian — author profile and papers — Elamur Research"
description: "Zheng Lian, Chinese Academy of Sciences: 2 papers on Elamur Research (2024–2026), h-index 0 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/zheng-lian/"
---
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# Zheng Lian

Zheng Lian has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Chonghua Liao](https://md.research.elamur.ai/free/en/authors/chonghua-liao/), [Feihu Che](https://md.research.elamur.ai/free/en/authors/feihu-che/), [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5139800217) · [**h-index 0**](https://openalex.org/authors/A5139800217) · [1 works](https://openalex.org/works?filter=author.id:A5139800217) · [0 citations](https://openalex.org/works?filter=author.id:A5139800217&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zheng-lian/#papers) · [🔗 Cited 12 times in our library](https://md.research.elamur.ai/free/en/authors/zheng-lian/cited-by/) · [⭐ Paper Stars ranking: #9495](https://md.research.elamur.ai/free/en/paper-stars/page/95/#star-9495)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zheng+Lian) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zheng+Lian) · [dblp](https://dblp.org/search?q=Zheng+Lian) · [ACL Anthology](https://aclanthology.org/search/?q=Zheng+Lian)

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/)

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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zheng-lian/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zheng-lian/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding](https://md.research.elamur.ai/free/en/papers/zhang-2024-sarcasmbench-towards-evaluating-large-language/)** *(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](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-examples-automated-thought-level/)** *(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.

- [Chonghua Liao](https://md.research.elamur.ai/free/en/authors/chonghua-liao/)
- [Feihu Che](https://md.research.elamur.ai/free/en/authors/feihu-che/)
- [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/)
- [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/)
- [Jing Qin](https://md.research.elamur.ai/free/en/authors/jing-qin/)
- [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/)
- [Ling Yang](https://md.research.elamur.ai/free/en/authors/ling-yang/)
- [Mingkuan Feng](https://md.research.elamur.ai/free/en/authors/mingkuan-feng/)
- [Prayag Tiwari](https://md.research.elamur.ai/free/en/authors/prayag-tiwari/)
- [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/)
- [Yazhou Zhang](https://md.research.elamur.ai/free/en/authors/yazhou-zhang/)
- [Zhengqi Wen](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

## 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 →](https://md.research.elamur.ai/free/en/authors/zheng-lian/cited-by/).

Updated 2 November 2026
