---
title: "Tianxing He — author profile and papers — Elamur Research"
description: "Tianxing He, Shanghai Qi Zhi Institute: 5 papers on Elamur Research (2023–2026), h-index 14 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/tianxing-he/"
---
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# Tianxing He

Tianxing He has 5 papers in our library, in 2023–2026, 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 [Shangbin Feng](https://md.research.elamur.ai/free/en/authors/shangbin-feng/), [Yulia Tsvetkov](https://md.research.elamur.ai/free/en/authors/yulia-tsvetkov/), [Heng Wang](https://md.research.elamur.ai/free/en/authors/heng-wang/).

5 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5051747323) · [ORCID](https://orcid.org/0009-0008-6383-0307) · [Wikidata](https://www.wikidata.org/wiki/Q130890078) · [**h-index 14**](https://openalex.org/authors/A5051747323) · [65 works](https://openalex.org/works?filter=author.id:A5051747323) · [783 citations](https://openalex.org/works?filter=author.id:A5051747323&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/tianxing-he/#papers) · [🔗 Cited 332 times in our library](https://md.research.elamur.ai/free/en/authors/tianxing-he/cited-by/) · [8 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6167](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6167)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2024–2026 · 16 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Shanghai Qi Zhi Institute** Shanghai · China 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-qi-zhi-institute/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2019–2023 · 15 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**University of Washington** Seattle · United States 2022–2024 · 12 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2014–2023 · 9 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Johns Hopkins University** Baltimore · United States 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**New York University** New York · United States 2021–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/new-york-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/tianxing-he/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/tianxing-he/year/2025/) · [**2023** 3 papers](https://md.research.elamur.ai/free/en/authors/tianxing-he/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Can Language Models Solve Graph Problems in Natural Language?](https://md.research.elamur.ai/free/en/papers/wang-2023-language-models-solve-graph-problems/)** *(2023 · 124 citations)* Large language models are often applied to problems with hidden graph structure, such as robot planning, multi-hop QA and structured commonsense reasoning.
2. **[Resolving Knowledge Conflicts in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2023-resolving-knowledge-conflicts-large-language/)** *(2023 · 48 citations)* When LLMs receive retrieved or prompted text, that text often contradicts what they absorbed during pretraining.
3. **[Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models](https://md.research.elamur.ai/free/en/papers/feng-2023-knowledge-card-filling-llms-knowledge/)** *(2023 · 35 citations)* Large language models are frozen after training and costly to update. As a result, they often produce outdated, hallucinated, or missing facts, especially for long-tail and fast-changing topics. Knowledge Card addresses this by attaching small, domain-specific language models ("knowledge cards") to a black-box LLM.…
4. **[Jailbreak Large Vision-Language Models Through Multi-Modal Linkage](https://md.research.elamur.ai/free/en/papers/wang-2025-jailbreak-large-vision-language-models/)** *(2025 · 20 citations)* This ACL 2025 paper studies why structure-based jailbreaks of large vision-language models (VLMs) succeed on open models such as LLaVA or MiniGPT-4 but largely fail on frontier systems like GPT-4o.
5. **[ChatAnime: Towards User-Centered Emotional Support in LLM-based Virtual Character Chat](https://md.research.elamur.ai/free/en/papers/qiu-2026-chatanime-user-centered-emotional-support/)** *(2026)* Users of virtual character platforms such as Character.AI increasingly seek emotional comfort from role-playing agents.

## All works

13 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. **[Can Language Models Solve Graph Problems in Natural Language?](https://md.research.elamur.ai/free/en/papers/wang-2023-language-models-solve-graph-problems/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Heng Wang, Shangbin Feng, Tianxing He, et al.*2023 · 124 citations*
2. **[SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation ↗](https://aclanthology.org/2024.naacl-long.226/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Abe Hou et al.*2024 · 77 citations*
3. **[Negative Training for Neural Dialogue Response Generation ↗](https://aclanthology.org/2020.acl-main.185/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Tianxing He, James Glass*2020 · 77 citations*
4. **[Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models ↗](https://aclanthology.org/2021.eacl-main.95/) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yet**Tianxing He et al.*2021 · 69 citations*
5. [**Resolving Knowledge Conflicts in Large Language Models arXiv:2310.00935**Yike Wang, Shangbin Feng, Heng Wang, et al.*2023 · 48 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-resolving-knowledge-conflicts-large-language/)
6. **[On the Blind Spots of Model-Based Evaluation Metrics for Text Generation ↗](https://aclanthology.org/2023.acl-long.674/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tianxing He et al.*2023 · 46 citations*
7. [**Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models arXiv:2305.09955**Shangbin Feng, Weijia Shi, Yuyang Bai, et al.*2023 · 35 citations*](https://md.research.elamur.ai/free/en/papers/feng-2023-knowledge-card-filling-llms-knowledge/)
8. **[A Systematic Characterization of Sampling Algorithms for Open-ended Language Generation ↗](https://aclanthology.org/2020.aacl-main.36/) Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing · no summary yet**Moin Nadeem et al.*2020 · 29 citations*
9. **[Jailbreak Large Vision-Language Models Through Multi-Modal Linkage](https://md.research.elamur.ai/free/en/papers/wang-2025-jailbreak-large-vision-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Wang, Xiaofei Zhou, Yichen Wang, et al.*2025 · 20 citations*
10. **[Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models ↗](https://arxiv.org/abs/1910.07117) arXiv (Cornell University) · no summary yet**Tianxing He et al.*2019 · 19 citations*
11. **[An Empirical Study on Few-shot Knowledge Probing for Pretrained Language Models ↗](https://arxiv.org/abs/2109.02772) arXiv (Cornell University) · no summary yet**Tianxing He, Kyunghyun Cho, James Glass*2021 · 9 citations*
12. **[Controlling the Focus of Pretrained Language Generation Models ↗](https://aclanthology.org/2022.findings-acl.260/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Jiabao Ji et al.*2022 · 3 citations*
13. **[ChatAnime: Towards User-Centered Emotional Support in LLM-based Virtual Character Chat](https://md.research.elamur.ai/free/en/papers/qiu-2026-chatanime-user-centered-emotional-support/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lanlan Qiu, Sophia Xiao Pu, Yeqi Feng, et al.*2026*

## Co-authors here

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

- [Shangbin Feng](https://md.research.elamur.ai/free/en/authors/shangbin-feng/) ×3
- [Yulia Tsvetkov](https://md.research.elamur.ai/free/en/authors/yulia-tsvetkov/) ×3
- [Heng Wang](https://md.research.elamur.ai/free/en/authors/heng-wang/) ×2
- [Vidhisha Balachandran](https://md.research.elamur.ai/free/en/authors/vidhisha-balachandran/) ×2
- [Weijia Shi](https://md.research.elamur.ai/free/en/authors/weijia-shi/) ×2
- [Geyuan Zhang](https://md.research.elamur.ai/free/en/authors/geyuan-zhang/)
- [Xiaochuang Han](https://md.research.elamur.ai/free/en/authors/xiaochuang-han/)
- [Xiaofei Zhou](https://md.research.elamur.ai/free/en/authors/xiaofei-zhou/)
- [Yichen Wang](https://md.research.elamur.ai/free/en/authors/yichen-wang/)
- [Yike Wang](https://md.research.elamur.ai/free/en/authors/yike-wang/)
- [Yu Wang](https://md.research.elamur.ai/free/en/authors/yu-wang/)
- [Zhaoxuan Tan](https://md.research.elamur.ai/free/en/authors/zhaoxuan-tan/)

## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)
- Findings of the Association for Computational Linguistics: ACL 2022
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
- Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 332 times (of the 149,439 papers whose bibliographies we read); [75 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tianxing-he/cited-by/).

Updated 2 November 2026