---
title: "Zhijing Jin · Max Planck Society — author profile and papers"
description: "Zhijing Jin, Max Planck Society: 4 papers on Elamur Research (2019–2023), h-index 21 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/zhijing-jin/"
---
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# Zhijing Jin

Zhijing Jin has 4 papers in our library, in 2019–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bernhard Schölkopf](https://md.research.elamur.ai/free/en/authors/bernhard-scholkopf/), [Mrinmaya Sachan](https://md.research.elamur.ai/free/en/authors/mrinmaya-sachan/), [Alessandro Stolfo](https://md.research.elamur.ai/free/en/authors/alessandro-stolfo/).

4 papers in our library · 2019–2023

[OpenAlex](https://openalex.org/A5016724158) · [ORCID](https://orcid.org/0000-0003-0238-9024) · [**h-index 21**](https://openalex.org/authors/A5016724158) · [117 works](https://openalex.org/works?filter=author.id:A5016724158) · [2,257 citations](https://openalex.org/works?filter=author.id:A5016724158&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zhijing-jin/#papers) · [🔗 Cited 875 times in our library](https://md.research.elamur.ai/free/en/authors/zhijing-jin/cited-by/) · [15 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1509](https://md.research.elamur.ai/free/en/paper-stars/page/16/#star-1509)

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=Zhijing+Jin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhijing+Jin) · [dblp](https://dblp.org/search?q=Zhijing+Jin) · [ACL Anthology](https://aclanthology.org/search/?q=Zhijing+Jin)

## Affiliations

[🎓**University of Toronto** Toronto · Canada 2020–2026 · 36 papersEmployment · Assistant Professor, Computer Science*current*](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🔬**Max Planck Institute for Intelligent Systems** Stuttgart · Germany 2021–2026 · 30 papersEmployment*current*](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-intelligent-systems/) · [🔬**Max Planck Society** Munich · Germany 2020–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/labs/max-planck-society/) · [🔬**Vector Institute** Toronto · Canada 2025–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/labs/vector-institute/) · [🎓**ETH Zurich** Zurich · Switzerland 2021–2025 · 45 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🎓**University of Hong Kong** Pok Fu Lam · Hong Kong 2018–2020 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**University of Michigan** Ann Arbor · United States 2022–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2026 · 3 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**Intelligent Systems Research** Thousand Oaks · United States 2023–2026 · 3 papers](https://ror.org/01reevc91) · [🎓**Stanford University** Stanford · United States 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Philosophy · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/philosophy/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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

[**2023** 2 papers Zhijing Jin's papers of 2023](https://md.research.elamur.ai/free/en/authors/zhijing-jin/year/2023/) · [**2022** 1 paper Logical Fallacy Detection](https://md.research.elamur.ai/free/en/papers/jin-2022-logical-fallacy-detection/)

### 2010s

[**2019** 1 paper Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment](https://md.research.elamur.ai/free/en/papers/jin-2019-bert-really-robust-strong-baseline/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment](https://md.research.elamur.ai/free/en/papers/jin-2019-bert-really-robust-strong-baseline/)** *(2019 · 1,326 citations)* NLP classifiers, including pre-trained BERT, can be fooled by small edits to their input. Building such adversarial text is harder than for images because language is discrete, and the edits must keep the meaning, the grammar and the label a human would assign. The authors introduce TextFooler, a black-box attack…
2. **[Membership Inference Attacks against Language Models via Neighbourhood Comparison](https://md.research.elamur.ai/free/en/papers/mattern-2023-membership-inference-attacks-against-language/)** *(2023 · 162 citations)* The paper examines membership inference attacks (MIAs) on language models, which try to determine whether a specific text was part of a model's training set.
3. **[Logical Fallacy Detection](https://md.research.elamur.ai/free/en/papers/jin-2022-logical-fallacy-detection/)** *(2022 · 119 citations)* The authors introduce logical fallacy detection as a new NLP task: classifying an argument by the type of flawed reasoning it contains.
4. **[A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models](https://md.research.elamur.ai/free/en/papers/stolfo-2023-causal-framework-quantify-robustness-mathematical/)** *(2023 · 65 citations)* Large language models perform well on math benchmarks, but it is unclear whether they truly reason or exploit superficial cues in problem wording.

## All works

19 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. **[Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment](https://md.research.elamur.ai/free/en/papers/jin-2019-bert-really-robust-strong-baseline/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Di Jin, Zhijing Jin, Joey Tianyi Zhou, et al.*2019 · 1,326 citations*
2. **[Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) Computational Linguistics · original ↗ · no summary yet**Di Jin et al.*2022 · 316 citations*
3. **[Membership Inference Attacks against Language Models via Neighbourhood Comparison](https://md.research.elamur.ai/free/en/papers/mattern-2023-membership-inference-attacks-against-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, et al.*2023 · 162 citations*
4. **[Logical Fallacy Detection](https://md.research.elamur.ai/free/en/papers/jin-2022-logical-fallacy-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, et al.*2022 · 119 citations*
5. **[A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models](https://md.research.elamur.ai/free/en/papers/stolfo-2023-causal-framework-quantify-robustness-mathematical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, et al.*2023 · 65 citations*
6. **[CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training](https://aclanthology.org/2020.webnlg-1.8/) Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+) · original ↗ · no summary yet**Qipeng Guo et al.*2020 · 61 citations*
7. **[GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation](https://aclanthology.org/2020.coling-main.217/) Proceedings of the 28th International Conference on Computational Linguistics · original ↗ · no summary yet**Zhijing Jin et al.*2020 · 58 citations*
8. **[Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals](https://aclanthology.org/2024.acl-long.458/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Francesco Ortu et al.*2024 · 22 citations*
9. **[Language Model Alignment in Multilingual Trolley Problems](https://arxiv.org/abs/2407.02273) arXiv:2407.02273 · original ↗ · no summary yet**Zhijing Jin et al.*2024 · 21 citations*
10. **[Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection](https://arxiv.org/abs/2405.02318) arXiv:2405.02318 · original ↗ · no summary yet**Abhinav Lalwani et al.*2024 · 15 citations*
11. **[Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis](https://arxiv.org/abs/2311.08605) arXiv:2311.08605 · original ↗ · no summary yet**David F. Jenny et al.*2023 · 6 citations*
12. **[DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal](https://aclanthology.org/2025.acl-long.973/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Vaibhav Aggarwal et al.*2025 · 4 citations*
13. **[Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models](https://aclanthology.org/2026.eacl-long.27/) Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**David Guzman Piedrahita et al.*2026 · 3 citations*
14. **[When Seeing Overrides Knowing: Disentangling Knowledge Conflicts in Vision-Language Models](https://aclanthology.org/2026.acl-long.642/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Francesco Ortu et al.*2026 · 2 citations*
15. **[PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf](https://aclanthology.org/2026.acl-demo.39/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) · original ↗ · no summary yet**Jiarui Liu et al.*2026 · 1 citation*
16. **[When Do Language Models Endorse Limitations on Human Rights Principles?](https://aclanthology.org/2026.findings-eacl.347/) Findings of the Association for Computational Linguistics: EACL 2026 · original ↗ · no summary yet**Keenan Samway et al.*2026 · 1 citation*
17. **[Test of Time: Rethinking Temporal Signal of Benchmark Contamination](https://aclanthology.org/2026.acl-long.1693/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Terry Jingchen Zhang et al.*2026 · 1 citation*
18. **[Taming Object Hallucinations with Verified Atomic Confidence Estimation](https://aclanthology.org/2026.eacl-long.252/) Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Jiarui Liu et al.*2026*
19. **[CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures](https://aclanthology.org/2026.eacl-long.57/) Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yet**Punya Syon Pandey et al.*2026*

## Co-authors here

12 co-authors with a page, the most papers together first.

- [Bernhard Schölkopf](https://md.research.elamur.ai/free/en/authors/bernhard-scholkopf/) ×3
- [Mrinmaya Sachan](https://md.research.elamur.ai/free/en/authors/mrinmaya-sachan/) ×3
- [Alessandro Stolfo](https://md.research.elamur.ai/free/en/authors/alessandro-stolfo/)
- [Di Jin](https://md.research.elamur.ai/free/en/authors/di-jin/)
- [Fatemehsadat Mireshghallah](https://md.research.elamur.ai/free/en/authors/fatemehsadat-mireshghallah/)
- [Joey Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/joey-tianyi-zhou/)
- [Kumar Shridhar](https://md.research.elamur.ai/free/en/authors/kumar-shridhar/)
- [Peter Szolovits](https://md.research.elamur.ai/free/en/authors/peter-szolovits/)
- [Rada Mihalcea](https://md.research.elamur.ai/free/en/authors/rada-mihalcea/)
- [Taylor Berg-Kirkpatrick](https://md.research.elamur.ai/free/en/authors/taylor-berg-kirkpatrick/)
- [Xiaoyu Shen](https://md.research.elamur.ai/free/en/authors/xiaoyu-shen/)
- [Yiwen Ding](https://md.research.elamur.ai/free/en/authors/yiwen-ding/)

## 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/) ×6: [ACL 2023](https://md.research.elamur.ai/free/en/venues/acl/2023/)
- Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) ×3
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/), [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/)
- [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2019](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2019/)
- Computational Linguistics
- Findings of the Association for Computational Linguistics: EACL 2026
- Proceedings of the 28th International Conference on Computational Linguistics
- Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)

## Cited by

Papers of our library cite their works 875 times (of the 141,840 papers whose bibliographies we read); [61 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhijing-jin/cited-by/).

Updated 24 October 2026